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Data Driven Approaches on Medical Imaging

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, de...

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Bibliographic Details
Other Authors: Zheng, Bin (Editor), Andrei, Stefan (Editor), Sarker, Md Kamruzzaman (Editor), Gupta, Kishor Datta (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Subjects:
Medical And Health Technologies
Health Informatics
Computer Vision
Biomedical Engineering
Medical Informatics
Image Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter. 1. Introduction of Medical Imaging Modalities
  • Chapter. 2. Introduction to Medical Imaging Informatics
  • Chapter. 3. Active Learning on Medical Image
  • Chapter. 4. Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework
  • Chapter. 5. AUTOML Systems for Medical Imaging
  • Chapter. 6. Online learning for X-ray, CT or MRI
  • Chapter. 7. Invariant Scattering Transform for Medical Imaging
  • Chapter. 8. Generative Adversarial Networks for Data Augmentation
  • Chapter. 9. Bias, Ethical concerns, and explainable decision-making in medical imaging research
  • Chapter. 10. Case Studies on X-Ray Imaging, MRI and Nuclear Imaging
  • Index

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