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Automated pathology image analysis

Version 2 2024-06-05, 06:28
Version 1 2019-11-26, 08:44
chapter
posted on 2024-06-05, 06:28 authored by SH Shirazi, S Naz, Imran RazzakImran Razzak, AI Umar, A Zaib
The digitalization of pathology slides introduced a new era to pathology. Despite being the most powerful prognostic tool, automated analysis of microscopic images is still not used in routine clinical practices. Manual pathological image analysis methods continue to be used, and they are tedious, time consuming, and subject to a technician's training and skills, e.g., a well-trained expert may take up to 15 min to evaluate and count 100 cells. Since millions of blood tests are performed every year, machine-aided automatic analysis is a powerful diagnostic tool that improves accuracy, saves time, and causes a reduction in manpower as well as human errors. This work provides a comprehensive study of current automated pathology image analysis and techniques along with comparison of various techniques and databases used in literature.

History

Chapter number

2

Pagination

13-29

ISBN-13

9780128130872

Edition

1st

Language

eng

Publication classification

B1.1 Book chapter

Copyright notice

2018 Elsevier Inc.

Extent

14

Editor/Contributor(s)

Dey N, Ashour AS, Shi F, Balas VE

Publisher

Elsevier

Place of publication

Amsterdam, The Netherlands

Title of book

Soft computing based medical image analysis

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