
Brain MR Image Segmentation
An AI Based Approach
LAP Lambert Academic Publishing
Published on 30. September 2022
Book
Paperback/Softback
244 pages
978-620-5-50231-0 (ISBN)
Description
Brain MR image segmentation is an interdisciplinary field at the intersection of engineering and medicine. This field is intended to develop computational and mathematical models for solving problems pertaining to medical images and their use for biomedical research and clinical care. Every year, many more articles are added to the literature that describe new algorithms for solving the problem. However, the artifacts such as intensity inhomogeneity, noise, inaccurate tissue boundaries, etc. make the brain MR image segmentation a challenging task. It still remains an open problem. This book attempts to address different problems in the brain MR image segmentation. The pre-processing and segmentation steps are investigated as a cohesive whole. The research found a flood of new avenues for exploration in the future. The findings of this book could serve as a foundation for researchers, scholars and faculties looking to explore new ideas and methodologies in the field of brain MR image segmentation.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 16 mm
Weight
381 gr
ISBN-13
978-620-5-50231-0 (9786205502310)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
The authors are affiliated to the Department of Electronics and Tele-Communication Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, India. The research group works on addressing different research problems on Digital Image Processing, Medical Image Analysis, Bioinformatic.