Data Driven Approaches on Medical Imaging / edited by Bin Zheng, Stefan Andrei, Md Kamruzzaman Sarker, Kishor Datta Gupta.

Format:

Book

Contributor:

Zheng, Bin, editor.

Language:

English

Subjects (All):

Image processing.

Medical informatics.

Biomedical engineering.

Computer vision.

Image Processing.

Health Informatics.

Medical and Health Technologies.

Computer Vision.

Local Subjects:

Image Processing.

Health Informatics.

Medical and Health Technologies.

Computer Vision.

Physical Description:

1 online resource (236 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

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, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art. The book particularly focuses on the use of data driven new technologies on medical imaging vision such as Active learning, Online learning, few shot learning, AutoML, segmentation etc.

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Zheng, Bin Data Driven Approaches on Medical Imaging

ISBN:

3-031-47772-3