Computer Vision in Healthcare: Prediction, Detection and Diagnosis
暫譯: 醫療保健中的計算機視覺：預測、檢測與診斷

它探討了計算機視覺技術在各種醫療領域的應用，包括診斷影像、外科手術介入、臨床決策支持和醫療管理。它還回顧了在現實醫療環境中實施計算機視覺系統所面臨的挑戰和不足之處。

Dr. Saurav Mallik is a Research Scientist in the Department of Pharmacology and Toxicology, The University of Arizona, Tucson, Arizona, USA. Prior to this he was Postdoctoral Fellow in Harvard T H Chan School of Public Health, University of Texas Health Science Center at Houston, and University of Miami Miller School of Medicine, USA. He obtained a PhD degree in the Department of Computer Science & Engineering from Jadavpur University, Kolkata, India in 2017 while his PhD was in Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India as a Junior Research Fellow. He is also a recipient of UGC Research Fellow and CSIR Research Associate, Government of India. He is also recipient of "Emerging Researcher In Bioinformatics" award from Bioclues & BIRD Award steering committee, India in the year 2020. He received two times Travel Grant Award for International Conference on Intelligent Biology and Medicine (ICIBM), 2018 at Los Angeles, California, USA and 2021 at Philadelphia, PA, USA. Dr Mallik has coauthored more than 225 research papers in various peer-reviewed international journals, proceedings and book chapters. He also has more than 20 authored/edited books with major publishing houses. He attended many conferences in the USA and India. He is currently an active member of Institute of Electrical and Electronics Engineers (IEEE), American Association for Cancer Research (AACR), and Association for Computing Machinery (ACM), USA and life member of BIOCLUES, India. He is associate editors of many journals such as Frontiers in Genetics, PloS One, BMC Bioinformatics, Frontiers in Bioinformatics, Frontiers in Applied Mathematics and Statistics, Archives of Medical Sciences, Mathematics, Electronics, Bioengineered, International Journal of Biomedical Imaging, Chemistry & Biodiversity, International Journal of Molecular Sciences, etc. He is a member of the international advisory committee of many reputed engineering colleges in India. His research areas include data mining, computational biology, bioinformatics, biostatistics and machine learning. Email: sauravmtech2@gmail.com, smallik@arizona.edu

Dr. Sandeep Kumar Mathivanan is an Assistant Professor in the School of Computing Science and Engineering, Galgotias University, Greater Noida, India. He received an M.S degree in Software engineering from the Vellore Institute of Technology (VIT), Vellore, India, in 2016, and the MTech (By Research) degree from VIT, Vellore, India, in 2020 and a PhD from the School of Information Technology and Engineering, VIT, Vellore, India, in 2023. He has more than 7 years of research experience. He is basically an academician, an author, a researcher, a reviewer of various global journals and international conferences. He is reviewer in many reputed journal like Heliyon, Multimedia tools, Soft computing, Transactions on Consumer Electronics, Optical and Quantum Electronics International journal of end-user computing and development, International journal of speech technology, International journal of system assurance engineering and management, Network modeling analysis in health informatics and bioinformatics., Progress in artificial intelligence, Computers in Biology and Medicine Computers and Electrical Engineering and Wireless personal communications. His research interests include machine learning, deep learning, remote sensing, big data. Email: sandeep.m@galgotiasuniversity.edu.in, sandeepkumarm322@gmail.com

Dr. Prabhu Jayagopal received a Bachelor's degree in Information Technology from Vellore Engineering College, Vellore, India in 2004. He received a master's degree in Computer Science and Engineering (2007) and PhD (2015) from Sathyabama University, Chennai, India, He has over 16 years of academic experience. Now he is a Professor in the School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore from 2009 to till date, He has published more than 85 papers in reputed journals and conferences. He is also involved in collaborative research projects with various national and international level organizations and research institutions. His research interests are software testing, machine learning, IoT, deep learning, blockchain, and big data. Email: jprabhuit@gmail.com, j.prabhu@vit.ac.in

Prof. (Dr.) Hong Qin obtained a PhD from the Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, USA, in 2001. He is currently an associate professor at the School of Data Science, Department of Computer Science, Old Dominion University, USA. Previously, he was associate professor with the Department of Computer Science and Engineering, The University of Tennessee at Chattanooga, USA. He has published papers in more than 80 international peer-reviewed journals and conferences. He has NSF research grants that cover his research and publications. His research interests include cellular aging, COVID 19, mathematical modeling, machine learning, data science, bioinformatics, deep learning, and genomics. He uses computational and mathematical approaches to investigate biomedical and biological questions. Dr. Hong Qin is a recipient of NSF CAREER award 2015-2020. Qin's expertise includes graph reliability modeling; bioinformatics; computational genomics; mathematical modeling; systems biology; cellular aging; gene network analysis and modeling. Email: hqin@odu.edu

Dr. Ben Othman Soufiane is an Assistant Professor of computer science at the King Faisal University, Saudi Arabia, from 2025. He received his Ph.D. degree in computer science from Manouba University, Tunisia in 2016 for his dissertation on "Secure data aggregation in wireless sensor networks. He also holds M.S. degrees from the Monastir University in 2012. My research interests focus on the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning and Big Data. Dr. Ben Othman has published more than 130 papers at reputed international journals, conferences, and book chapters. He is an Editorial Board Member in the different Journals and Conferences. He serves as an associate editor/academic editor for international journals including IEEE Access, IEEE Sensors, IEEE Internet of Things, Elsevier, Springer, Taylor & Francis, IGI, IET, Telecommunication Computing Electronics and Control, and Wiley. Dr. Ben Othman is a Technical Program Committee Member for more than a dozen of international conferences.

Email: ben_oth_soufiene@yahoo.fr, sbenothman@kfu.edu.sa

Dr. Saurav Mallik 是美國亞利桑那州圖森市亞利桑那大學藥理學與毒理學系的研究科學家。在此之前，他曾擔任哈佛大學T.H. Chan公共衛生學院、德克薩斯州休士頓健康科學中心及邁阿密大學米勒醫學院的博士後研究員。他於2017年在印度加爾各答的賈達夫普爾大學計算機科學與工程系獲得博士學位，並在印度統計學研究所的機器智能單位擔任初級研究員。他也是印度政府的UGC研究獎學金和CSIR研究助理的獲得者。他於2020年獲得了“生物資訊學新興研究者獎”，該獎項由Bioclues和BIRD獎委員會頒發。他兩次獲得國際智能生物學與醫學會議 (ICIBM)的旅行獎學金，分別於2018年在美國加州洛杉磯和2021年在美國賓夕法尼亞州費城舉行。Dr. Mallik已在各種國際同行評審期刊、會議和書籍章節中共同發表了超過225篇研究論文。他還與主要出版社合作編寫了超過20本著作。他參加了許多在美國和印度舉行的會議。他目前是電氣與電子工程師學會 (IEEE)、美國癌症研究協會 (AACR) 和計算機協會 (ACM) 的活躍成員，並且是印度BIOCLUES的終身會員。他是多本期刊的副編輯，如Frontiers in Genetics、PloS One、BMC Bioinformatics、Frontiers in Bioinformatics、Frontiers in Applied Mathematics and Statistics、Archives of Medical Sciences、Mathematics、Electronics、Bioengineered、International Journal of Biomedical Imaging、Chemistry & Biodiversity、International Journal of Molecular Sciences等。他是印度多所知名工程學院的國際諮詢委員會成員。他的研究領域包括數據挖掘、計算生物學、生物資訊學、生物統計學和機器學習。電子郵件：sauravmtech2@gmail.com, smallik@arizona.edu

Dr. Sandeep Kumar Mathivanan 是印度大諾伊達Galgotias大學計算科學與工程學院的助理教授。他於2016年在印度維洛爾科技學院 (VIT) 獲得軟體工程碩士學位，並於2020年獲得VIT的研究碩士學位，2023年獲得VIT資訊科技與工程學院的博士學位。他擁有超過7年的研究經驗。他基本上是一位學者、作者、研究人員以及各種全球期刊和國際會議的審稿人。他是許多知名期刊的審稿人，如Heliyon、Multimedia tools、Soft computing、Transactions on Consumer Electronics、Optical and Quantum Electronics、International journal of end-user computing and development、International journal of speech technology、International journal of system assurance engineering and management、Network modeling analysis in health informatics and bioinformatics、Progress in artificial intelligence、Computers in Biology and Medicine、Computers and Electrical Engineering和Wireless personal communications。他的研究興趣包括機器學習、深度學習、遙感和大數據。電子郵件：sandeep.m@galgotiasuniversity.edu.in, sandeepkumarm322@gmail.com

Dr. Prabhu Jayagopal 於2004年在印度維洛爾工程學院獲得資訊科技學士學位。他於2007年獲得計算機科學與工程碩士學位，並於2015年獲得博士學位，均來自印度錫泰巴瑪大學 (Sathyabama University)。他擁有超過16年的學術經驗。自2009年至今，他在維洛爾科技學院計算機科學工程與資訊系擔任教授。他在知名期刊和會議上發表了超過85篇論文。他還參與了與各種國內外組織和研究機構的合作研究項目。他的研究興趣包括軟體測試、機器學習、物聯網、深度學習、區塊鏈和大數據。電子郵件：jprabhuit@gmail.com, j.prabhu@vit.ac.in

Prof. (Dr.) Hong Qin 於2001年在美國伊利諾伊州芝加哥大學生物化學與分子生物學系獲得博士學位。他目前是美國老道明大學計算機系數據科學學院的副教授。之前，他曾擔任美國田納西州查塔努加大學計算機科學與工程系的副教授。他在超過80個國際同行評審期刊和會議上發表了論文。他獲得了美國國家科學基金會 (NSF) 的研究資助，支持他的研究和出版工作。他的研究興趣包括細胞老化、COVID-19、數學建模、機器學習、數據科學、生物資訊學、深度學習和基因組學。他使用計算和數學方法來研究生物醫學和生物學問題。Dr. Hong Qin 是2015-2020年NSF CAREER獎的獲得者。秦博士的專業包括圖形可靠性建模、生物資訊學、計算基因組學、數學建模、系統生物學、細胞老化、基因網絡分析和建模。電子郵件：hqin@odu.edu

Dr. Ben Othman Soufiane 是沙烏地阿拉伯法伊薩爾國王大學的計算機科學助理教授，將於2025年任職。他於2016年在突尼西亞的馬努巴大學獲得計算機科學博士學位，論文主題為「無線感測器網絡中的安全數據聚合」。他還於2012年在馬努巴大學獲得碩士學位。我的研究興趣集中在醫療物聯網、無線人體感測器網絡、無線網絡、人工智慧、機器學習和大數據。Dr. Ben Othman已在知名國際期刊、會議和書籍章節上發表了超過130篇論文。他是多個期刊和會議的編輯委員會成員，並擔任IEEE Access、IEEE Sensors、IEEE Internet of Things、Elsevier、Springer、Taylor & Francis、IGI、IET、Telecommunication Computing Electronics and Control和Wiley等國際期刊的副編輯/學術編輯。Dr. Ben Othman是十多個國際會議的技術程序委員會成員。電子郵件：ben_oth_soufiene@yahoo.fr, sbenothman@kfu.edu.sa