Deep Learning Methods for Medical Image Analysis
暫譯: 醫學影像分析的深度學習方法

Rao, N. Thirupathi, Bhattacharyya, Debnath

Deep Learning Methods for Medical Image Analysis
  • 出版商: CRC
  • 出版日期: 2026-12-08
  • 售價: $5,170
  • 貴賓價: 9.5 折 $4,911
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041084641
  • ISBN-13: 9781041084648
  • 相關分類: DeepLearning、影像辨識 Image-recognition、Computer Vision

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商品描述

This volume is a useful resource on the utilization of deep learning methodologies in medical imaging, a domain that is swiftly transforming clinical diagnosis and treatment of diseases. It presents fundamental concepts in deep learning and advances to sophisticated techniques, including Convolutional Neural Networks (CNNs) for feature extraction, Fully Convolutional Networks (FCNs) and U-Nets for accurate image segmentation, and Generative Adversarial Networks (GANs) for data augmentation and image enhancement. It examines other Long Short-Term Memory (LSTM) networks for temporal analysis for elucidating intricate spatial connections in high-resolution medical pictures. It comprises a mix of theoretical background, examples of how these strategies have been put into practice, and case studies of both the triumphs and failures of these approaches in actual medical settings. This book highlights the extensive use of deep learning in several medical fields by discussing its potential applications in areas such as early illness identification, retinal imaging, histopathological categorization, and tumor and lesion detection in MRIs and CT scans. The book delves deeper than only technical topics to tackle the specific issues that arise with medical data. These include the importance of data scarcity in instances of uncommon diseases, the ethical concerns related to data privacy and security, and the necessity of interpretability to build confidence among clinicians. To help researchers overcome typical challenges, we also investigate strategies like synthetic data generation, multimodal learning, and transfer learning.

商品描述(中文翻譯)

本書是一本探討深度學習方法在醫學影像領域應用的實用資源，而醫學影像正迅速改變疾病的臨床診斷與治療方式。本書從深度學習的基本概念出發，進一步介紹各種先進技術，包括用於特徵擷取的卷積神經網路（Convolutional Neural Networks, CNNs）、用於精確影像分割的全卷積網路（Fully Convolutional Networks, FCNs）與 U-Net，以及用於資料增強和影像強化的生成對抗網路（Generative Adversarial Networks, GANs）。本書也探討其他長短期記憶網路（Long Short-Term Memory, LSTM），將其應用於時間序列分析，以闡明高解析度醫學影像中複雜的空間關聯。

本書結合理論背景、這些策略實際應用方式的範例，以及在真實醫療環境中採用這些方法時成功與失敗的案例研究。透過討論深度學習在早期疾病辨識、視網膜影像、組織病理分類，以及 MRI 和 CT 掃描中的腫瘤與病灶偵測等領域的潛在應用，本書突顯深度學習在多個醫學領域的廣泛用途。

本書不僅深入探討技術主題，也針對醫學資料所衍生的特定問題進行說明，包括罕見疾病案例中的資料稀缺性、資料隱私與安全相關的倫理疑慮，以及建立臨床醫師信任所需的可解釋性。為協助研究人員克服常見挑戰，本書也探討合成資料生成、多模態學習和遷移學習等策略。

作者簡介

Dr. N. Thirupathi Rao is a Professor and Head of the Medical Image Computing Lab with over 15 years of distinguished experience in teaching, research, administration, and academic leadership at Department of Computer Science and Engineering, Vignan's Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India. His areas of specialization include Artificial Intelligence, Deep Learning, Machine Learning, Data Science, Soft Computing, Mathematical Modelling, and Medical Image Analysis. He has made significant contributions to interdisciplinary research with applications in healthcare, diagnostic imaging, communication networks, and intelligent systems. He has published more than 140 research papers in reputed SCI, SCIE, ESCI, and Scopus-indexed journals and international conferences. He has also authored textbooks, book chapters with international publishers, and holds multiple patents in emerging technologies. His research excellence has attracted funded projects from agencies such as DST-SERB and international organizations. Dr. Rao has successfully organized international conferences, served as editor and reviewer for reputed journals, and adjudicated doctoral theses for universities. As an academic mentor, he has guided numerous undergraduate and postgraduate projects while inspiring students and scholars toward innovation, quality research, and professional excellence.

Debnath Bhattacharyya is a Professor at Department of Information Technology, Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India. He was an Invited International Professor of Lincoln University College, Kuala Lumpur, Malaysia, and a Foreign Professor, Department of Multimedia Engineering, Hannam University, South Korea. Currently, he is the Visiting Professor at University of Johannesburg, South Africa and UCSI University, Kuala Lumpur, Malaysia. He completed his PhD (Tech, CSE) from the University of Calcutta, Kolkata. He did his MTech (CSE) from West Bengal University of Technology, Kolkata, India. Dr Bhattacharyya is the Senior Member of IEEE, Senior Member of ACM, ACM SIGKDD, OWASP, Life Member of CSI, India, Senior Member of IACSIT, Singapore and Senior Member of IAENG, Hong Kong. He serves as an editor for several reputed journals (indexed by Scopus, SCI, and WoS). He has published 300 Scopus indexed articles and 160 WoS (Core) indexed papers. His research interests include Security Engineering, Pattern Recognition, Biometric Authentication, Multimodal Biometric Authentication, Data Mining and Image Processing. He has also published 6 books in Computer Science and Engineering.

作者簡介(中文翻譯)

Dr. N. Thirupathi Rao 是印度安得拉邦 Visakhapatnam 的 Vignan's Institute of Information Technology 電腦科學與工程系教授暨 Medical Image Computing Lab 主任，在教學、研究、行政管理與學術領導方面擁有超過 15 年的傑出經驗。他的專長領域包括 Artificial Intelligence、Deep Learning、Machine Learning、Data Science、Soft Computing、Mathematical Modelling，以及 Medical Image Analysis。他在跨領域研究方面做出重大貢獻，研究應用涵蓋醫療保健、診斷影像、通信網路與智慧系統。他已在知名 SCI、SCIE、ESCI 與 Scopus 索引期刊及國際會議發表超過 140 篇研究論文。此外，他也與國際出版社合作出版教科書及書籍章節，並持有多項新興技術相關專利。他卓越的研究成果吸引了 DST-SERB 及國際組織等機構提供的研究計畫經費。Rao 博士曾成功籌辦國際會議，擔任知名期刊的編輯與審稿人，並為各大學的博士論文進行審查。身為學術導師，他指導了許多大學部與研究所專題，並鼓勵學生與學者投入創新、優質研究及專業卓越。

Debnath Bhattacharyya 是印度安得拉邦 Tekkali 的 Aditya Institute of Technology and Management 資訊科技系教授。他曾任馬來西亞吉隆坡 Lincoln University College 的客座國際教授，以及南韓 Hannam University 多媒體工程系的外籍教授。目前，他擔任南非 University of Johannesburg 及馬來西亞吉隆坡 UCSI University 的客座教授。他於印度 Kolkata 的 University of Calcutta 取得 PhD（Tech, CSE）學位，並於印度 Kolkata 的 West Bengal University of Technology 取得 MTech（CSE）學位。Bhattacharyya 博士是 IEEE 資深會員、ACM 資深會員、ACM SIGKDD 與 OWASP 會員、印度 CSI 終身會員、新加坡 IACSIT 資深會員，以及香港 IAENG 資深會員。他擔任多本知名期刊的編輯，這些期刊收錄於 Scopus、SCI 與 WoS。他已發表 300 篇 Scopus 索引論文及 160 篇 WoS（Core）索引論文。他的研究興趣包括 Security Engineering、Pattern Recognition、Biometric Authentication、Multimodal Biometric Authentication、Data Mining 與 Image Processing。此外，他也出版了 6 本 Computer Science and Engineering 領域的書籍。

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