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Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images

by Marchetti, Michael A., Codella, Noel C.F., Dusza, Stephen W., Gutman, David A., Helba, Brian, Kalloo, Aadi, Mishra, Nabin, Carrera, Cristina, Celebi, M. Emre, DeFazio, Jennifer L., Jaimes, Natalia, Marghoob, Ashfaq A., Quigley, Elizabeth, Scope, Alon, Yélamos, Oriol, Halpern, Allan C.
Published in Journal of the American Academy of Dermatology (01.02.2018)

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Automated quantification of coronary plaque with computed tomography: comparison with intravascular ultrasound using a dedicated registration algorithm for fusion-based quantification

by Boogers, Mark J., Broersen, Alexander, van Velzen, Joëlla E., de Graaf, Fleur R., El-Naggar, Heba M., Kitslaar, Pieter H., Dijkstra, Jouke, Delgado, Victoria, Boersma, Eric, de Roos, Albert, Schuijf, Joanne D., Schalij, Martin J., Reiber, Johan H.C., Bax, Jeroen J., Jukema, J. Wouter
Published in European heart journal (01.04.2012)

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Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D–S Fusion Algorithm for Bridge Structures

by Yu, Yang, Rashidi, Maria, Samali, Bijan, Yousefi, Amir M., Wang, Weiqiang
Published in Remote sensing (Basel, Switzerland) (01.01.2021)

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DRPSO:A multi-strategy fusion particle swarm optimization algorithm with a replacement mechanisms for colon cancer pathology image segmentation

by Hu, Gang, Zheng, Yixuan, Houssein, Essam H., Wei, Guo
Published in Computers in biology and medicine (01.08.2024)

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Multimodal data fusion based on IGERNNC algorithm for detecting pathogenic brain regions and genes in Alzheimer’s disease

by Wang, Shuaiqun, Zheng, Kai, Kong, Wei, Huang, Ruiwen, Liu, Lulu, Wen, Gen, Yu, Yaling
Published in Briefings in bioinformatics (19.01.2023)

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A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET

by Belhassen, Saoussen, Zaidi, Habib
Published in Medical physics (Lancaster) (01.03.2010)

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Application of Transfer Learning and Feature Fusion Algorithms to Improve the Identification and Prediction Efficiency of Premature Ovarian Failure

by Zhang, Yuanyuan, Hou, Jing, Wang, Qiaoyun, Hou, Aiqin, Liu, Yanni
Published in Journal of healthcare engineering (27.03.2022)

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Deep Canonical Correlation Fusion Algorithm Based on Denoising Autoencoder for ASD Diagnosis and Pathogenic Brain Region Identification

by Zhang, Huilian, Chen, Jie, Liao, Bo, Wu, Fang-xiang, Bi, Xia-an
Published in Interdisciplinary sciences : computational life sciences (01.06.2024)

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Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data

by Ma, Baoshan, Meng, Fanyu, Yan, Ge, Yan, Haowen, Chai, Bingjie, Song, Fengju
Published in Computers in biology and medicine (01.06.2020)

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Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

by Zhuang, Xiahai, Shen, Juan
Published in Medical image analysis (01.07.2016)

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Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study

by Zhang, Yipu, Zhang, Haowei, Xiao, Li, Bai, Yuntong, Calhoun, Vince D., Wang, Yu-Ping
Published in IEEE transactions on medical imaging (01.09.2022)

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Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features

by Li, Shulong, Xu, Panpan, Li, Bin, Chen, Liyuan, Zhou, Zhiguo, Hao, Hongxia, Duan, Yingying, Folkert, Michael, Ma, Jianhua, Huang, Shiying, Jiang, Steve, Wang, Jing
Published in Physics in medicine & biology (04.09.2019)

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Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches

by Kazerouni, Faranak, Bayani, Azadeh, Asadi, Farkhondeh, Saeidi, Leyla, Parvizi, Nasrin, Mansoori, Zahra
Published in BMC bioinformatics (27.08.2020)

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An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm

by Chowdhary, Chiranji Lal, Mittal, Mohit, P., Kumaresan, Pattanaik, P. A., Marszalek, Zbigniew
Published in Sensors (Basel, Switzerland) (13.07.2020)

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Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?

by Grigull, Lorenz, Mehmecke, Sandra, Rother, Ann-Katrin, Blöß, Susanne, Klemann, Christian, Schumacher, Ulrike, Mücke, Urs, Kortum, Xiaowei, Lechner, Werner, Klawonn, Frank
Published in PloS one (10.10.2019)

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A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology–Radiology Fusion

by Khosravi, Pegah, Lysandrou, Maria, Eljalby, Mahmoud, Li, Qianzi, Kazemi, Ehsan, Zisimopoulos, Pantelis, Sigaras, Alexandros, Brendel, Matthew, Barnes, Josue, Ricketts, Camir, Meleshko, Dmitry, Yat, Andy, McClure, Timothy D., Robinson, Brian D., Sboner, Andrea, Elemento, Olivier, Chughtai, Bilal, Hajirasouliha, Iman
Published in Journal of magnetic resonance imaging (01.08.2021)

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Enhancing cancer diagnostics through a novel deep learning-based semantic segmentation algorithm: A low-cost, high-speed, and accurate approach

by Benabbou, Tarik, Sahel, Aïcha, Badri, Abdelmajid, Mourabit, Ilham El
Published in Computers in biology and medicine (01.09.2025)

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Continuous Locomotion-Mode Identification for Prosthetic Legs Based on Neuromuscular-Mechanical Fusion

by Huang, He, Zhang, Fan, Hargrove, Levi J., Dou, Zhi, Rogers, Daniel R., Englehart, Kevin B.
Published in IEEE transactions on biomedical engineering (01.10.2011)

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Evaluation of a Cascaded Deep Learning–based Algorithm for Prostate Lesion Detection at Biparametric MRI

by Lin, Yue, Yilmaz, Enis C., Belue, Mason J., Harmon, Stephanie A., Tetreault, Jesse, Phelps, Tim E., Merriman, Katie M., Hazen, Lindsey, Garcia, Charisse, Yang, Dong, Xu, Ziyue, Lay, Nathan S., Toubaji, Antoun, Merino, Maria J., Xu, Daguang, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J., Choyke, Peter L., Pinto, Peter A., Turkbey, Baris
Published in Radiology (01.05.2024)

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A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data

by Ahmed, M.N., Yamany, S.M., Mohamed, N., Farag, A.A., Moriarty, T.
Published in IEEE transactions on medical imaging (01.03.2002)

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