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    • TVS.005199_TT_Michael F. Byrne, Nasim Parsa, Alexandra T. Greenhill, Daljeet Chahal, Omer Ahmad, Ulas Bagci - AI in Clinical Medicine_ A Practical Gui.pdf.jpg
    • Sách/Book

    • AI in clinical medicine : a practical guide for healthcare professionals

      • Authors: - (2023)

    • AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is divided into four sections. Section 1 provides readers with the basic vocabulary that they require, a framework for AI, and highlights the importance of robust AI training for physicians. Section 2 reviews foundational ideas and concepts, including the history of AI. Section 3 explores how AI is applied to specific disciplines. Section 4 describes emerging trends, and applications of AI in medicine in the future
    • TVS.005106_TT_(The Elsevier And Miccai Society Book Series) Haofu Liao, S. Kevin Zhou, Jiebo Luo - Deep Network Design for Medical Image Computing. Pr.pdf.jpg
    • Sách/Book

    • Deep network design for medical image computing : principles and applications

      • Authors: Liao, Haofu (2022)

    • Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc.