Comparison of Bone Segmentation Software over Different Anatomical Parts
Three-dimensional bone shape reconstruction is a fundamental step for any subject-specific musculo-skeletal model. Typically, medical images are processed to reconstruct bone surfaces via slice-by-slice contour identification. Freeware software packages are available, but commercial ones must be use...
Saved in:
Published in | Applied sciences Vol. 12; no. 12; p. 6097 |
---|---|
Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.06.2022
|
Subjects | |
Online Access | Get full text |
ISSN | 2076-3417 2076-3417 |
DOI | 10.3390/app12126097 |
Cover
Abstract | Three-dimensional bone shape reconstruction is a fundamental step for any subject-specific musculo-skeletal model. Typically, medical images are processed to reconstruct bone surfaces via slice-by-slice contour identification. Freeware software packages are available, but commercial ones must be used for the necessary certification in clinics. The commercial software packages also imply expensive hardware and demanding training, but offer valuable tools. The aim of the present work is to report the performance of five commercial software packages (Mimics®, AmiraTM, D2PTM, SimplewareTM, and Segment 3D PrintTM), particularly the time to import and to create the model, the number of triangles of the mesh, and the STL file size. DICOM files of three different computed tomography scans from five different human anatomical areas were utilized for bone shape reconstruction by using each of these packages. The same operator and the same hosting hardware were used for these analyses. The computational time was found to be different between the packages analyzed, probably because of the pre-processing implied in this operation. The longer “time-to-import” observed in one software is likely due to the volume rendering during uploading. A similar number of triangles per megabyte (approximately 20 thousand) was observed for the five commercial packages. The present work showed the good performance of these software packages, with the main features being better than those analyzed previously in freeware packages. |
---|---|
AbstractList | Three-dimensional bone shape reconstruction is a fundamental step for any subject-specific musculo-skeletal model. Typically, medical images are processed to reconstruct bone surfaces via slice-by-slice contour identification. Freeware software packages are available, but commercial ones must be used for the necessary certification in clinics. The commercial software packages also imply expensive hardware and demanding training, but offer valuable tools. The aim of the present work is to report the performance of five commercial software packages (Mimics®, AmiraTM, D2PTM, SimplewareTM, and Segment 3D PrintTM), particularly the time to import and to create the model, the number of triangles of the mesh, and the STL file size. DICOM files of three different computed tomography scans from five different human anatomical areas were utilized for bone shape reconstruction by using each of these packages. The same operator and the same hosting hardware were used for these analyses. The computational time was found to be different between the packages analyzed, probably because of the pre-processing implied in this operation. The longer “time-to-import” observed in one software is likely due to the volume rendering during uploading. A similar number of triangles per megabyte (approximately 20 thousand) was observed for the five commercial packages. The present work showed the good performance of these software packages, with the main features being better than those analyzed previously in freeware packages. |
Author | Durante, Stefano Marcelli, Emanuela Bortolani, Barbara Cercenelli, Laura Belvedere, Claudio Ortolani, Maurizio Matsiushevich, Katsiaryna Leardini, Alberto |
Author_xml | – sequence: 1 givenname: Claudio orcidid: 0000-0003-4258-2267 surname: Belvedere fullname: Belvedere, Claudio – sequence: 2 givenname: Maurizio surname: Ortolani fullname: Ortolani, Maurizio – sequence: 3 givenname: Emanuela surname: Marcelli fullname: Marcelli, Emanuela – sequence: 4 givenname: Barbara orcidid: 0000-0003-1240-9391 surname: Bortolani fullname: Bortolani, Barbara – sequence: 5 givenname: Katsiaryna surname: Matsiushevich fullname: Matsiushevich, Katsiaryna – sequence: 6 givenname: Stefano surname: Durante fullname: Durante, Stefano – sequence: 7 givenname: Laura orcidid: 0000-0001-7818-1356 surname: Cercenelli fullname: Cercenelli, Laura – sequence: 8 givenname: Alberto orcidid: 0000-0003-3547-7370 surname: Leardini fullname: Leardini, Alberto |
BookMark | eNptkFtLAzEQhYMoWGuf_AMLPspqLrvZ5LHWSwsFhepzyGaTkrLdrEmq-O9NXYUizssMM2c-DucMHHeu0wBcIHhNCIc3su8RRphCXh2BEYYVzUmBquOD-RRMQtjAVBwRhuAIzGdu20tvg-syZ7LbhMxWer3VXZTRpuXKmfghvc7cu_bZnTVG-3TMpp2MbmuVbLNn6WM4BydGtkFPfvoYvD7cv8zm-fLpcTGbLnNFaBHzikPIEGOwYdBASZuKY6IUZaXGGCpMKMElwpwwxQpWS6UL3SBe1kVTSUUhGYPFwG2c3Ije2630n8JJK74Xzq9FsmNVqwVVhSYUJ0SJCoRNTRoDa95wSpAxCiXW5cDqvXvb6RDFxu18l-wLTCtO2T7OpEKDSnkXgtdGKDuEE720rUBQ7PMXB_mnn6s_P79O_1N_Ac4Dhl0 |
CitedBy_id | crossref_primary_10_1007_s10439_024_03662_2 crossref_primary_10_1111_joa_14063 crossref_primary_10_1186_s41205_022_00163_7 crossref_primary_10_3390_app122211564 |
Cites_doi | 10.1038/s41598-021-95708-x 10.1016/j.surg.2015.12.017 10.1186/s12938-016-0225-7 10.4103/2231-0746.133065 10.21037/qims.2019.08.08 10.1016/j.medengphy.2017.10.008 10.1016/j.jbiomech.2018.12.031 10.1016/j.aanat.2016.11.009 10.3390/app9040708 10.1097/GOX.0000000000002510 10.1115/1.3138480 10.1002/ase.1682 10.1016/j.jcms.2013.10.001 10.1016/j.ejrad.2011.06.001 10.1016/j.jbiomech.2017.04.029 10.1186/1475-925X-12-48 10.1302/2058-5241.1.000012 10.1115/1.4037558 10.1016/j.cmpb.2019.105102 10.1186/s12938-020-00810-2 10.1007/s10278-019-00239-7 10.1080/10255842.2016.1263301 10.1016/j.jss.2015.06.051 10.1186/s41205-020-00069-2 10.3390/app10062100 10.1002/jor.24198 10.1111/os.12468 10.1186/s12938-018-0461-0 10.1016/j.jbiomech.2016.09.005 10.1053/j.jfas.2017.02.004 10.1016/j.fas.2022.02.014 10.1186/s41747-020-00172-3 10.1371/journal.pone.0178540 |
ContentType | Journal Article |
Copyright | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | AAYXX CITATION ABUWG AFKRA AZQEC BENPR CCPQU DWQXO PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI PRINS DOA |
DOI | 10.3390/app12126097 |
DatabaseName | CrossRef ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China DOAJ (selected full-text) |
DatabaseTitle | CrossRef Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
DatabaseTitleList | CrossRef Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: BENPR name: ProQuest Central url: http://www.proquest.com/pqcentral?accountid=15518 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering Sciences (General) |
EISSN | 2076-3417 |
ExternalDocumentID | oai_doaj_org_article_6c4e362ce451412fb3df0b9d9631ffc1 10_3390_app12126097 |
GeographicLocations | United States--US |
GeographicLocations_xml | – name: United States--US |
GroupedDBID | .4S 2XV 5VS 7XC 8CJ 8FE 8FG 8FH AADQD AAFWJ AAYXX ADBBV ADMLS AFKRA AFPKN AFZYC ALMA_UNASSIGNED_HOLDINGS APEBS ARCSS BCNDV BENPR CCPQU CITATION CZ9 D1I D1J D1K GROUPED_DOAJ IAO IGS ITC K6- K6V KC. KQ8 L6V LK5 LK8 M7R MODMG M~E OK1 P62 PHGZM PHGZT PIMPY PROAC TUS ABUWG AZQEC DWQXO PKEHL PQEST PQQKQ PQUKI PRINS PUEGO |
ID | FETCH-LOGICAL-c364t-790081880d80f0a6d7923cc685e220c23632512938c848bace4ed195b4d7ac603 |
IEDL.DBID | DOA |
ISSN | 2076-3417 |
IngestDate | Wed Aug 27 01:32:13 EDT 2025 Thu Sep 11 07:11:02 EDT 2025 Tue Jul 01 00:41:23 EDT 2025 Thu Apr 24 22:59:38 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 12 |
Language | English |
License | https://creativecommons.org/licenses/by/4.0 |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c364t-790081880d80f0a6d7923cc685e220c23632512938c848bace4ed195b4d7ac603 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ORCID | 0000-0001-7818-1356 0000-0003-4258-2267 0000-0003-1240-9391 0000-0003-3547-7370 |
OpenAccessLink | https://doaj.org/article/6c4e362ce451412fb3df0b9d9631ffc1 |
PQID | 2679682126 |
PQPubID | 2032433 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_6c4e362ce451412fb3df0b9d9631ffc1 proquest_journals_2679682126 crossref_citationtrail_10_3390_app12126097 crossref_primary_10_3390_app12126097 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2022-06-01 |
PublicationDateYYYYMMDD | 2022-06-01 |
PublicationDate_xml | – month: 06 year: 2022 text: 2022-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Basel |
PublicationPlace_xml | – name: Basel |
PublicationTitle | Applied sciences |
PublicationYear | 2022 |
Publisher | MDPI AG |
Publisher_xml | – name: MDPI AG |
References | Nolte (ref_1) 2016; 49 Dobbe (ref_15) 2018; 51 (ref_27) 2019; 1386 Kamio (ref_30) 2020; 6 Ortolani (ref_37) 2021; 11 Bahraminasab (ref_14) 2020; 19 Becker (ref_34) 2019; 61 Galbusera (ref_18) 2020; 4 Huotilainen (ref_24) 2014; 42 Huang (ref_32) 2013; 12 Wallner (ref_35) 2019; 182 Xia (ref_6) 2019; 11 Malik (ref_9) 2015; 199 Fourie (ref_29) 2012; 81 Martelli (ref_10) 2016; 159 Virzi (ref_28) 2020; 33 Zhang (ref_2) 2017; 20 Ahn (ref_31) 2016; 15 Battaglia (ref_13) 2019; 7 Walt (ref_38) 2022; 28 Belvedere (ref_12) 2017; 56 King (ref_16) 1984; 106 Auricchio (ref_11) 2016; 1 Durastanti (ref_21) 2019; 9 Tan (ref_23) 2017; 139 Matsiushevich (ref_25) 2019; 84 Leardini (ref_17) 2017; 62 Galvez (ref_7) 2018; 2 An (ref_19) 2017; 210 ref_20 ref_3 Sander (ref_33) 2017; 10 Belvedere (ref_5) 2019; 37 ref_26 Kresanova (ref_22) 2018; 4 Soodmand (ref_36) 2018; 17 ref_4 Parthasarathy (ref_8) 2014; 4 |
References_xml | – volume: 11 start-page: 16139 year: 2021 ident: ref_37 article-title: Angular and linear measurements of adult flexible flatfoot via weight-bearing CT scans and 3D bone reconstruction tools publication-title: Sci. Rep. doi: 10.1038/s41598-021-95708-x – volume: 159 start-page: 1485 year: 2016 ident: ref_10 article-title: Advantages and disadvantages of 3-dimensional printing in surgery: A systematic review publication-title: Surgery doi: 10.1016/j.surg.2015.12.017 – volume: 15 start-page: 99 year: 2016 ident: ref_31 article-title: Fully automated, level set-based segmentation for knee MRIs using an adaptive force function and template: Data from the osteoarthritis initiative publication-title: Biomed. Eng. Online doi: 10.1186/s12938-016-0225-7 – volume: 4 start-page: 9 year: 2014 ident: ref_8 article-title: 3D modeling, custom implants and its future perspectives in craniofacial surgery publication-title: Ann. Maxillofac. Surg. doi: 10.4103/2231-0746.133065 – volume: 9 start-page: 1368 year: 2019 ident: ref_21 article-title: Comparison of cartilage and bone morphological models of the ankle joint derived from different medical imaging technologies publication-title: Quant. Imaging Med. Surg. doi: 10.21037/qims.2019.08.08 – ident: ref_26 – volume: 51 start-page: 6 year: 2018 ident: ref_15 article-title: CT image segmentation methods for bone used in medical additive manufacturing publication-title: Med. Eng. Phys. doi: 10.1016/j.medengphy.2017.10.008 – volume: 84 start-page: 247 year: 2019 ident: ref_25 article-title: Quantitative comparison of freeware software for bone mesh from DICOM files publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2018.12.031 – volume: 210 start-page: 76 year: 2017 ident: ref_19 article-title: Accuracy and efficiency of computer-aided anatomical analysis using 3D visualization software based on semi-automated and automated segmentations publication-title: Ann. Anat. doi: 10.1016/j.aanat.2016.11.009 – volume: 61 start-page: 211 year: 2019 ident: ref_34 article-title: Digital health—Software as a medical device in focus of the medical device regulation (MDR) publication-title: IT Inf. Technol. – volume: 1386 start-page: 012113 year: 2019 ident: ref_27 article-title: Comparison of segmentation tools for structural analysis of bone tissues by finite elements publication-title: J. Phys. – ident: ref_4 doi: 10.3390/app9040708 – volume: 7 start-page: e2510 year: 2019 ident: ref_13 article-title: Combination of CAD/CAM and Augmented Reality in Free Fibula Bone Harvest publication-title: Plast. Reconstr. Surg. Glob. Open doi: 10.1097/GOX.0000000000002510 – volume: 4 start-page: 66 year: 2018 ident: ref_22 article-title: Comparison of Software for Medical Segmentation publication-title: Cent. Eur. Res. J. – volume: 106 start-page: 97 year: 1984 ident: ref_16 article-title: A review of biomechanical models publication-title: J. Biomech. Eng. doi: 10.1115/1.3138480 – volume: 10 start-page: 383 year: 2017 ident: ref_33 article-title: Three-dimensional printing of X-ray computed tomography datasets with multiple materials using open-source data processing publication-title: Anat. Sci. Educ. doi: 10.1002/ase.1682 – volume: 42 start-page: e259 year: 2014 ident: ref_24 article-title: Inaccuracies in additive manufactured medical skull models caused by the DICOM to STL conversion process publication-title: J. Craniomaxillofac. Surg. doi: 10.1016/j.jcms.2013.10.001 – volume: 81 start-page: e524 year: 2012 ident: ref_29 article-title: Segmentation process significantly influences the accuracy of 3D surface models derived from cone beam computed tomography publication-title: Eur. J. Radiol. doi: 10.1016/j.ejrad.2011.06.001 – volume: 62 start-page: 77 year: 2017 ident: ref_17 article-title: Kinematic models of lower limb joints for musculo-skeletal modelling and optimization in gait analysis publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2017.04.029 – volume: 12 start-page: 48 year: 2013 ident: ref_32 article-title: An improved level set method for vertebra CT image segmentation publication-title: Biomed. Eng. Online doi: 10.1186/1475-925X-12-48 – volume: 1 start-page: 121 year: 2016 ident: ref_11 article-title: 3D printing: Clinical applications in orthopaedics and traumatology publication-title: EFORT Open Rev. doi: 10.1302/2058-5241.1.000012 – volume: 139 start-page: 104503 year: 2017 ident: ref_23 article-title: Influence of Scan Resolution, Thresholding, and Reconstruction Algorithm on Computed Tomography-Based Kinematic Measurements publication-title: J. Biomech. Eng. doi: 10.1115/1.4037558 – volume: 182 start-page: 105102 year: 2019 ident: ref_35 article-title: A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery publication-title: Comput. Methods Programs Biomed. doi: 10.1016/j.cmpb.2019.105102 – volume: 19 start-page: 69 year: 2020 ident: ref_14 article-title: Challenges on optimization of 3D-printed bone scaffolds publication-title: Biomed. Eng. Online doi: 10.1186/s12938-020-00810-2 – volume: 33 start-page: 99 year: 2020 ident: ref_28 article-title: Comprehensive Review of 3D Segmentation Software Tools for MRI Usable for Pelvic Surgery Planning publication-title: J. Digit. Imaging doi: 10.1007/s10278-019-00239-7 – volume: 20 start-page: 566 year: 2017 ident: ref_2 article-title: Accuracy of femur reconstruction from sparse geometric data using a statistical shape model publication-title: Comput. Methods Biomech. Biomed. Eng. doi: 10.1080/10255842.2016.1263301 – volume: 199 start-page: 512 year: 2015 ident: ref_9 article-title: Three-dimensional printing in surgery: A review of current surgical applications publication-title: J. Surg. Res. doi: 10.1016/j.jss.2015.06.051 – volume: 6 start-page: 17 year: 2020 ident: ref_30 article-title: DICOM segmentation and STL creation for 3D printing: A process and software package comparison for osseous anatomy publication-title: 3D Print Med. doi: 10.1186/s41205-020-00069-2 – volume: 2 start-page: e071 year: 2018 ident: ref_7 article-title: Use of Three-dimensional Printing in Orthopaedic Surgical Planning publication-title: J. Am. Acad. Orthop. Surg. Glob. Res. Rev. – ident: ref_3 doi: 10.3390/app10062100 – volume: 37 start-page: 760 year: 2019 ident: ref_5 article-title: New comprehensive procedure for custom-made total ankle replacements: Medical imaging, joint modeling, prosthesis design, and 3D printing publication-title: J. Orthop. Res. doi: 10.1002/jor.24198 – volume: 11 start-page: 533 year: 2019 ident: ref_6 article-title: Clinical Applications of 3-Dimensional Printing Technology in Hip Joint publication-title: Orthop. Surg. doi: 10.1111/os.12468 – volume: 17 start-page: 29 year: 2018 ident: ref_36 article-title: Interlaboratory comparison of femur surface reconstruction from CT data compared to reference optical 3D scan publication-title: Biomed. Eng. Online doi: 10.1186/s12938-018-0461-0 – volume: 49 start-page: 3576 year: 2016 ident: ref_1 article-title: Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2016.09.005 – volume: 56 start-page: 836 year: 2017 ident: ref_12 article-title: Fluoroscopic and Gait Analyses for the Functional Performance of a Custom-Made Total Talonavicular Replacement publication-title: J. Foot Ankle Surg. doi: 10.1053/j.jfas.2017.02.004 – volume: 28 start-page: 518 year: 2022 ident: ref_38 article-title: Comparison between Weightbearing-CT semiautomatic and manual measurements in Hallux Valgus publication-title: Foot Ankle Surg. doi: 10.1016/j.fas.2022.02.014 – volume: 4 start-page: 49 year: 2020 ident: ref_18 article-title: Image-based biomechanical models of the musculoskeletal system publication-title: Eur. Radiol. Exp. doi: 10.1186/s41747-020-00172-3 – ident: ref_20 doi: 10.1371/journal.pone.0178540 |
SSID | ssj0000913810 |
Score | 2.2648902 |
Snippet | Three-dimensional bone shape reconstruction is a fundamental step for any subject-specific musculo-skeletal model. Typically, medical images are processed to... |
SourceID | doaj proquest crossref |
SourceType | Open Website Aggregation Database Enrichment Source Index Database |
StartPage | 6097 |
SubjectTerms | additive manufacturing bone models Bones Data collection DICOM Exports Freeware image segmentation Medical imaging musculo-skeletal modeling Orthopedics Software packages STL file Transplants & implants |
SummonAdditionalLinks | – databaseName: ProQuest Technology Collection dbid: 8FG link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3NT8IwFG8UL3owghpRND1wUJPFretGdzKAIjHRmCAJt6XtWi46EDD--75XCpJovK7N0rzv99r3e4Q0WyAjmUwECK_NAm4yE2RpJINYxcBtxHdpYaPw03PaH_LHUTLyBbe5f1a5sonOUBcTjTXyG4YFDwGGNr2dfgQ4NQpvV_0IjW2yAwsxSrXoPaxrLIh5KaJw2ZYXQ3aPt8IR_sOBPG04IofX_8scOx_TOyD7Pjik7SU3q2TLlDWytwEZWCNVr4xzeukRo68OSb-7niZIJ5Z2JqWhAzN-931FJR2Asf2SM0PxwSa980NRFrRdQs7tAAPoC8jQ_IgMe_ev3X7gRyQEOk75ImhlDpNOhIUIbSjTAuEAtU5FYhgLNQOCM-fShRZcKKkNN0WUJYoXLanTMD4mlRIOdUIopKUyYVwlisVcFsA1y7UFRkLQpziTdXK9oleuPX44jrF4yyGPQOLmG8Stk-Z683QJm_H3tg4Sfr0Fsa7dh8lsnHvVyVPNDbhZODoEdxGzKi5sqLICTEdkrY7qpLFiW-4VcJ7_iMvp_8tnZJdhR4MrrDRIZTH7NOcQZyzUhROmb0BA0Cg priority: 102 providerName: ProQuest |
Title | Comparison of Bone Segmentation Software over Different Anatomical Parts |
URI | https://www.proquest.com/docview/2679682126 https://doaj.org/article/6c4e362ce451412fb3df0b9d9631ffc1 |
Volume | 12 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NSwMxEB20XvQgWhWrteTQgwqLu9nsNjm2ai2CIn6AtyXJJl50K23Fv-8kG8uCghevSyDhvclMJpt5A9AfoI0ImXE0XisiZoSJRJ7IKFUpsu30XQauUPjmNp88sevn7LnR6su9CavlgWvgznLNDDpZbRiG9oRalZY2VqJEw0ms1T7xiUXcSKa8DxaJk66qC_JSzOvd_-AE3XTu5Z0aIcgr9f9wxD66jLdgMxwLybBezjasmKoNGw2xwDZsh204J8dBK_pkBybnyz6CZGrJaFoZ8mBe3kJFUUUe0M1-ypkh7qkmuQjtUBZkWGG27aUCyB2CMN-Fp_Hl4_kkCs0RIp3mbBENhFej43HJYxvLvHRCgFrnPDOUxpoi1NQHc64540oigKZMRKZYOZA6j9M9aFW4qH0gmJDKjDKVKZoyWSJflmmLFOJxTzEqO3D6jVehg3K4a2DxWmAG4cAtGuB2oL8c_F4LZvw-bOSAXw5xKtf-A3JfBO6Lv7jvQPebtiJsvXlB3c0Yd9Mc_Mcch7BOXcWDv3jpQmsx-zBHeA5ZqB6s8vFVD9ZGl7d39z1vgF8hxduJ |
linkProvider | Directory of Open Access Journals |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6V9AAcKlpApA_YQ5EAycJer531oaqaPpTSNqpoK_Xm7rMXcNokqOLP8duY2axDJBC3Xu2VtZ79PDM76_k-gO0eYqRShUTw-ioRrnJJVWYqyXWOq038Lj1qFD4bloMr8eW6uF6CX20vDP1W2frE4KjtyFCN_DOngodER1vu3t0npBpFp6uthIaK0gp2J1CMxcaOE_fzAbdwk53jA1zv95wfHV7uD5KoMpCYvBTTpFcFWjeZWpn6VJWWGPWMKWXhOE8NxznzEBWlkUJqZZxwNqsKLWxPmTLN8blPYFlQAaUDy_3D4fnXeZWHWDdlls4aA_O8SulcOqO3CDRTC6EwKAb8FRBClDt6ASsxPWV7MzytwpJr1uD5AmnhGqxGdzBhHyJn9ceXMNif6xmykWf9UePYhbv9HjubGnaB7v5BjR2jX0bZQZRlmbK9Bnf9gbKAnSOKJ6_g6lHM9xo6DU7qDTDcGKuCC11ongtlETdeGI9QwrRTC6668Km1V20igzkJaXyrcSdDxq0XjNuF7fnguxlxx7-H9cnw8yHEth0ujMa3dfx469IIh4Eep47pZca9zq1PdWXReWXem6wLm-2y1dEFTOo_gF3__-138HRweXZanx4PTzbgGaf-ilDm2YTOdPzDbWHWM9VvI7QY3Dw2mn8DEb4Rlg |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nb9QwEB2VVkJwQLSA2FLAhyIBUkTiOIlzqFC329WWwmpFqdRbcPzRC03KblDFX-RXMeN1lpVA3HpNrMgZv8yH43kPYL9AjJQqkwheV0bCljYq80RFaZ3iahO_S0GNwp-m-eRcfLjILjbgV98LQ8cqe5_oHbVpNe2Rv-O04SE5Nby4cCxiNhq_v_4ekYIU_Wnt5TRUkFkwB55uLDR5nNqfN1jOLQ5ORrj2rzgfH385mkRBcSDSaS66qCg9xZuMjYxdrHJD7Hpa5zKznMea4_y5j5BSSyFrpa2wJimzWphC6TxO8bl3YKvAqI-F4NbweDr7vNrxIQZOmcTLJsE0LWP6R53QG3nKqbWw6NUD_goOPuKNH8KDkKqywyW2tmHDNjtwf43AcAe2g2tYsNeBv_rNI5gcrbQNWevYsG0sO7OXV6HLqWFn6Ppv1NwyOj7KRkGipWOHjepaT1_AZojoxWM4vxXzPYHNBif1FBgWySrjos5qngplEENOaIewwhS0FlwN4G1vr0oHNnMS1fhWYVVDxq3WjDuA_dXg6yWJx7-HDcnwqyHEvO0vtPPLKnzIVa6FxaCPU8dUM-GuTo2L69KgI0uc08kA9vplq4I7WFR_wLv7_9sv4S6iuvp4Mj19Bvc4tVr4HZ892OzmP-xzTIC6-kVAFoOvtw3m3-YiFdo |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Comparison+of+Bone+Segmentation+Software+over+Different+Anatomical+Parts&rft.jtitle=Applied+sciences&rft.au=Claudio+Belvedere&rft.au=Maurizio+Ortolani&rft.au=Emanuela+Marcelli&rft.au=Barbara+Bortolani&rft.date=2022-06-01&rft.pub=MDPI+AG&rft.eissn=2076-3417&rft.volume=12&rft.issue=12&rft.spage=6097&rft_id=info:doi/10.3390%2Fapp12126097&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_6c4e362ce451412fb3df0b9d9631ffc1 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2076-3417&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2076-3417&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2076-3417&client=summon |