Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer
暫譯: 人工智慧在子宮頸癌早期檢測與診斷中的應用

本書介紹了人工智慧在子宮頸癌檢測領域的革命性應用。書中探討了先進的電腦演算法如何分析醫療影像和病患數據，以增強子宮頸癌的早期檢測和準確診斷。書籍首先提供了子宮頸癌的全面概述，包括其風險因素及早期檢測的重要性。接著深入探討人工智慧的基本概念及其在醫療保健中的應用。讀者將更深入了解人工智慧演算法如何「看見」子宮頸細胞和組織中的模式，從而能夠檢測出異常細胞和可能顯示子宮頸癌存在的前癌變變化。書中引用了最新的研究和實際案例，展示了用於子宮頸癌篩檢的各種人工智慧技術，包括對巴氏塗片（Pap smear）和液基細胞學影像的分析。本書是醫療保健專業人員、研究人員、政策制定者以及任何對人工智慧與醫療保健交集感興趣的人的必讀之作。

Dr. Rohit Thanki is a senior IEEE member and currently working as Data Scientist at Krian Software, Wolfsburg, Germany. Before this, he worked as R & D Head and Artificial Intelligence Scientist at Prognica Labs, Dubai, UAE. Also, he associated with Ennoventure Technologies Private Limited, Bengaluru, India as a software consultant. He received his Ph.D. from C. U. Shah University, Surendranagar, Gujarat, India, in 2017, with outstanding research contributions in biometric security and data encryption. He has more than 8 years of research experience along with 4 years of teaching experience in various engineering institutes such as MBIT (Vallabh Vidyanagar), Atmiya Institute of Technology and Science (Rajkot), Saurashtra University (Rajkot), and Government Polytechnic (Rajkot). His research interests are medical image analysis, artificial intelligence, machine learning, deep learning, digital watermarking, image & video processing, biometrics, content security, compressive sensing, signal processing, and industrial applications. He has written over 15 technical books and published with respected publishers such as Springer and CRC Press. Also, he has more than 50 research publications in various international journals and international conferences that are indexed in Web of Science (WoS) and Scopus. In addition, he has delivered many expert talks on computer vision and artificial intelligence topics. He has been invited as a reviewer in various reputed journals such as IEEE Transactions on Audio, Speech and Natural Language Processing, ACM Transactions on Multimedia Computing, Communications and Applications, IEEE Consumer Electronics Magazine, IEEE Access, IEEE Journal of Biomedical and Health Informatics, Signal Processing: Image Communication, Pattern Recognition, Computers, and Electrical Engineering, Informatics in Medicine, Journal of Ambient Intelligence and Humanized Computing, IET Biometrics, and IET Image Processing.

Dr. Sejal Shah is currently serving as the Head & Associate Professor for Department of Bioinformatics, Faculty of engineering and technology, Marwadi University Rajkot. She is also serving as Cancer Geneticist at various multispecialty hospitals at Rajkot, Gujarat. She is visiting faculty at IIIT Diu International campus and Saurashtra University. She has been selected in top 10 women scientists and awarded Indo-US women in STEMM fellowship (2019) by DST, Government of India and IUSSTF jointly to pursue post-doctoral research at USA and she joined Ohio state university for research in pediatric leukemia. She has been selected among 15 women scientists all over India by DST, KIRAN division for cancer research training organized at Mysore University, Mysore in 2018. She has been also awarded "Woman Scientist Fellow" in May 2012, in Women Scientist Scheme-A (DST/ WOS-A) of Department of Science and Technology, New Delhi, Government of India. She has 12 years of research experience in the field of cancer omics, biotechnology, and nanotechnology. During this period, she has been involved in teaching and cancer research. She has eight years of teaching experience as well industrial experience such as RK University, sunpharma Baroda and PERD centre Ahmedabad. She and her team are currently working on oral cancer, cervical cancer and breast cancer. She is associate member of American Association of Cancer Research (AACR), Life member of European association of cancer research (EACR), scientific decoder at COVID-19 Omics Research Consortium (CORC) and Breast cancer research consortia(BCRC). She has six Indian patents to her credit. She has more than 25 publications, 8 book chapters and eight research projects to her credit from various funding agencies. She is a reviewer in various national/international journals as wells.

Dr. Anjali Diwan is a highly experienced academic and software industry professional with over 20 years of expertise. Her areas of academic and research interests include Machine Learning, Image Processing, Artificial Intelligence, Deep Learning, Data Security, Multimedia Forensics, and the application of technologies to address humanitarian challenges. She is a senior member of IEEE and currently serves as a member of the SAC team of IEEE R10 (2023-2024) and the Section Chair of the IEEE Young Professionals affinity group of Gujarat section (2022-2024). Previously, she served as the Section Chair of Student Activity for IEEE Gujarat from 2016 to 2019 and IEEE WIE affinity group co-chair of IEEE Gujarat section from 2014 to 2017. Additionally, Dr. Diwan is a member of the TPC committee of several IEEE conferences and serves as a reviewer for international journals and IEEE transection. Currently she is working as faculty member of CE-AI/Big data department of Marwadi University, Rajkot (Gujarat) in India.

羅希特·坦基博士（Dr. Rohit Thanki）是資深的IEEE會員，目前在德國沃爾夫斯堡的Krian Software擔任數據科學家。在此之前，他曾在阿聯酋迪拜的Prognica Labs擔任研發主管和人工智慧科學家。此外，他還曾在印度班加羅爾的Ennoventure Technologies Private Limited擔任軟體顧問。他於2017年在印度古吉拉特邦的C. U. Shah University獲得博士學位，並在生物識別安全和數據加密方面做出了卓越的研究貢獻。他擁有超過8年的研究經驗，以及在多所工程學院（如MBIT（Vallabh Vidyanagar）、Atmiya Institute of Technology and Science（Rajkot）、Saurashtra University（Rajkot）和Government Polytechnic（Rajkot））的4年教學經驗。他的研究興趣包括醫學影像分析、人工智慧、機器學習、深度學習、數位水印、影像與視頻處理、生物識別、內容安全、壓縮感知、信號處理和工業應用。他已撰寫超過15本技術書籍，並與Springer和CRC Press等知名出版社合作出版。此外，他在各種國際期刊和會議上發表了超過50篇研究論文，這些論文均已在Web of Science（WoS）和Scopus中索引。此外，他還就計算機視覺和人工智慧主題發表了多場專家演講。他曾受邀擔任多個知名期刊的審稿人，如IEEE Transactions on Audio, Speech and Natural Language Processing、ACM Transactions on Multimedia Computing, Communications and Applications、IEEE Consumer Electronics Magazine、IEEE Access、IEEE Journal of Biomedical and Health Informatics、Signal Processing: Image Communication、Pattern Recognition、Computers and Electrical Engineering、Informatics in Medicine、Journal of Ambient Intelligence and Humanized Computing、IET Biometrics和IET Image Processing。

塞賈爾·沙哈博士（Dr. Sejal Shah）目前擔任馬瓦迪大學（Marwadi University Rajkot）工程與技術學院生物資訊學系的系主任及副教授。她同時在古吉拉特邦拉傑科特的多專科醫院擔任癌症遺傳學家。她是IIIT Diu國際校區和Saurashtra University的訪問教員。她被選為前10名女性科學家之一，並於2019年獲得印度政府科技部（DST）和印度美國科學與技術基金會（IUSSTF）共同頒發的印美女性STEMM獎學金，以在美國進行博士後研究，並加入俄亥俄州立大學進行兒童白血病的研究。她於2018年被DST KIRAN部門選中，參加在邁索爾大學舉辦的癌症研究培訓，成為全印度15名女性科學家之一。她於2012年5月獲得印度政府科技部女性科學家計劃A（DST/WOS-A）的「女性科學家研究員」稱號。她在癌症組學、生物技術和納米技術領域擁有12年的研究經驗。在此期間，她參與了教學和癌症研究。她擁有8年的教學經驗以及在RK University、Sunpharma Baroda和PERD中心（Ahmedabad）的工業經驗。她和她的團隊目前正在研究口腔癌、子宮頸癌和乳腺癌。她是美國癌症研究協會（AACR）的副會員，歐洲癌症研究協會（EACR）的終身會員，COVID-19組學研究聯盟（CORC）和乳腺癌研究聯盟（BCRC）的科學解碼員。她擁有六項印度專利。她的出版物超過25篇，包括8章書籍和八個來自各種資助機構的研究項目。她也是多個國內外期刊的審稿人。

安賈莉·迪萬博士（Dr. Anjali Diwan）是一位經驗豐富的學術界和軟體產業專業人士，擁有超過20年的專業知識。她的學術和研究興趣包括機器學習、影像處理、人工智慧、深度學習、數據安全、多媒體取證以及應用技術解決人道挑戰。她是IEEE的資深會員，目前擔任IEEE R10（2023-2024）的SAC團隊成員，以及古吉拉特分會IEEE青年專業人士親和小組的分會主席（2022-2024）。她曾於2016年至2019年擔任IEEE古吉拉特分會的學生活動分會主席，並於2014年至2017年擔任IEEE古吉拉特分會的IEEE WIE親和小組共同主席。此外，迪萬博士是多個IEEE會議的TPC委員會成員，並擔任國際期刊和IEEE交易的審稿人。目前，她在印度古吉拉特的馬瓦迪大學CE-AI/大數據系擔任教職。