Medical Image Processing: Techniques And Applications

Computer Science by Aboul Ella Hassanien (Editor), Nilanjan Dey (Editor), Surekha Borra (Editor)
This book addresses recent advances in mining, learning, and analysis of big volume of medical images. The book presents taxonomies, trends and issues such as veracity in distributive, dynamic, and diverse data collection, data management, data models, hypotheses testing, training, validation, model-building, optimization techniques and governance of medical big data collected from multiple, heterogeneous IoT devises, networks, platforms and systems such as private vs. public cloud

This full-color book begins with a detailed study of the nature of color images-including natural, multispectral, and pseudocolor images-and covers acquisition, quality control, and display of color images, as well as issues of noise and artifacts in color images and segmentation for the detection of regions of interest or objects.