Image Analysis for Segmentation and Classification of Blood Cells from Images of Peripheral Blood Smears by Roopa B. Hegde - ISBN: 9781041102151
Hardcover
Automate blood cell analysis for disease diagnosis with advanced image processing.
Save 15%
Pre-Order

Image Analysis for Segmentation and Classification of Blood Cells from Images of Peripheral Blood Smears

RRP$394.99

$335.75

  • Hardcover

    138 pages

  • Release Date

    5 October 2026

Check Delivery Options

Summary

Peripheral blood smear (PBS) analysis is a critical diagnostic tool for diseases including malaria, leukemia, and cancer. This monograph addresses the key challenges associated with image analysis of PBS images and highlights innovative systems that automate the identification of specific pathologies.

It reviews state-of-the-art algorithms for segmentation, color representation and normalization, image enhancement and restoration, and volume visualization, as well as relevant AI and m…

Book Details

ISBN-13:9781041102151
ISBN-10:1041102151
Author:Roopa B. Hegde, Keerthana Prasad, Swathi Prabhu
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Hardcover
Number of Pages:138
Release Date:5 October 2026
Dimensions:156mm x 234mm
A-Format
B-Format
C-Format
Image Analysis for Segmentation and Classification of Blood Cells from Images of Peripheral Blood Smears by Roopa B. Hegde - ISBN: 9781041102151
156 × 234 mm
A4
mm / in
About The Author

Roopa B. Hegde

Roopa B. Hegde is an associate professor in the Department of Electronics and Communication Engineering, NMAM Institute of Technology, Udupi, India. She has published more than 30 articles in peer-reviewed journals with an H-index of 9. She has to her credit, two patents granted and four applications pending examination. She has won best paper award and the healthcare innovation hackathon. Her areas of interest include signal processing, image processing, pattern recognition, artificial intelligence, and machine learning.

Swathi Prabhu is an assistant professor in the Department of Information and Communication Technology at Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. She has published several articles in peer-reviewed journals and has an H-index of 5. Her areas of interest include medical image processing, artificial intelligence, machine learning, and deep learning.

Keerthana Prasad is a professor and director of the Manipal School of Information Sciences, Manipal. With a keen interest in application of technology in medicine, she has worked very closely with many medical researchers in India and abroad, mostly on computer aided diagnostic applications. She has to her credit, four patents granted and six patent applications pending examination in India. She has developed many in-house analysis tools for medical researchers of the university. She has won many awards including the Rural Innovation award, Innovation Day award at Philips, IDF Innovation award and best paper award. She has published about 75 research papers in indexed international journals and has an H-index of 20.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.