Search Results - computer aided diagnostics｜((1 algorithms) OR (((descent algorithms) OR (learning algorithms))))~ :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

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Deep learning algorithm detection of Barrett’s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)

by de Groof, Albert J., Struyvenberg, Maarten R., Fockens, Kiki N., van der Putten, Joost, van der Sommen, Fons, Boers, Tim G., Zinger, Sveta, Bisschops, Raf, de With, Peter H., Pouw, Roos E., Curvers, Wouter L., Schoon, Erik J., Bergman, Jacques J.G. H.M.
Published in Gastrointestinal endoscopy (01.06.2020)

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Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey

by Huang, Qinghua, Li, Xuelong, Zhang, Fan
Published in BioMed research international (01.01.2018)

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AI-Driven Diagnostic Assistance in Medical Inquiry: Reinforcement Learning Algorithm Development and Validation

by Zou, Xuan, He, Weijie, Huang, Yu, Ouyang, Yi, Zhang, Zhen, Wu, Yu, Wu, Yongsheng, Feng, Lili, Wu, Sheng, Yang, Mengqi, Chen, Xuyan, Zheng, Yefeng, Jiang, Rui, Chen, Ting
Published in Journal of medical Internet research (23.08.2024)

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Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service

by Shahin, Mohammad, Chen, F. Frank, Hosseinzadeh, Ali, Zand, Neda
Published in International journal of advanced manufacturing technology (01.10.2023)

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A random forest based biomarker discovery and power analysis framework for diagnostics research

by Acharjee, Animesh, Larkman, Joseph, Xu, Yuanwei, Cardoso, Victor Roth, Gkoutos, Georgios V.
Published in BMC medical genomics (23.11.2020)

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Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study

by Maghami, Masoud, Sattari, Shahab Aldin, Tahmasbi, Marziyeh, Panahi, Pegah, Mozafari, Javad, Shirbandi, Kiarash
Published in Biomedical engineering online (04.12.2023)

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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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New machine learning method for image-based diagnosis of COVID-19

by Elaziz, Mohamed Abd, Hosny, Khalid M., Salah, Ahmad, Darwish, Mohamed M., Lu, Songfeng, Sahlol, Ahmed T.
Published in PloS one (26.06.2020)

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Diagnostic Performance of Deep Learning Algorithms Applied to Three Common Diagnoses in Dermatopathology

by Olsen, Thomas George, Jackson, B. Hunter, Feeser, Theresa Ann, Kent, Michael N., Moad, John C., Krishnamurthy, Smita, Lunsford, Denise D., Soans, Rajath E.
Published in Journal of pathology informatics (01.01.2018)

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A Hybrid Human–Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic Accuracy

by Dov, David, Assaad, Serge, Syedibrahim, Ameer, Bell, Jonathan, Huang, Jiaoti, Madden, John, Bentley, Rex, McCall, Shannon, Henao, Ricardo, Carin, Lawrence, Foo, Wen-Chi
Published in Archives of pathology & laboratory medicine (1976) (01.06.2022)

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A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis

by Harris, Miriam, Qi, Amy, Jeagal, Luke, Torabi, Nazi, Menzies, Dick, Korobitsyn, Alexei, Pai, Madhukar, Nathavitharana, Ruvandhi R., Ahmad Khan, Faiz
Published in PloS one (03.09.2019)

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Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers’ Health Examination Data

by Heo, Seok-Jae, Kim, Yangwook, Yun, Sehyun, Lim, Sung-Shil, Kim, Jihyun, Nam, Chung-Mo, Park, Eun-Cheol, Jung, Inkyung, Yoon, Jin-Ha
Published in International journal of environmental research and public health (16.01.2019)

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Cell segmentation in histopathological images with deep learning algorithms by utilizing spatial relationships

by Hatipoglu, Nuh, Bilgin, Gokhan
Published in Medical & biological engineering & computing (01.10.2017)

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Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer

by Kim, Young Seon, Lee, Seung Eun, Chang, Jung Min, Kim, Soo-Yeon, Bae, Young Kyung
Published in Medicine (Baltimore) (21.01.2022)

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Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods

by Burlina, Philippe, Billings, Seth, Joshi, Neil, Albayda, Jemima
Published in PloS one (30.08.2017)

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Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities

by Goyal, Manu, Knackstedt, Thomas, Yan, Shaofeng, Hassanpour, Saeed
Published in Computers in biology and medicine (01.12.2020)

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Untangling Computer-Aided Diagnostic System for Screening Diabetic Retinopathy Based on Deep Learning Techniques

by Farooq, Muhammad Shoaib, Arooj, Ansif, Alroobaea, Roobaea, Baqasah, Abdullah M., Jabarulla, Mohamed Yaseen, Singh, Dilbag, Sardar, Ruhama
Published in Sensors (Basel, Switzerland) (24.02.2022)

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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study

by Choi, Soo Yun, Park, Sunggyun, Kim, Minchul, Park, Jongchan, Choi, Ye Ra, Jin, Kwang Nam
Published in Medicine (Baltimore) (23.04.2021)

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Automated machine learning for prostate cancer detection and Gleason score prediction using T2WI: a diagnostic multi-center study

by Jin, Liang, Ma, Zhuangxuan, Gao, Feng, Li, Ming, Li, Haiqing, Geng, Daoying
Published in BMC cancer (01.10.2025)

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Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review

by Belić, Minja, Bobić, Vladislava, Badža, Milica, Šolaja, Nikola, Đurić-Jovičić, Milica, Kostić, Vladimir S.
Published in Clinical neurology and neurosurgery (01.09.2019)

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