Computer-based image analysis in breast pathology

Ziba Gandomkar; Patrick C Brennan; Claudia Mello-Thoms

doi:10.4103/2153-3539.192814

Back

Computer-based image analysis in breast pathology

Journal article

Open access

Peer reviewed

Computer-based image analysis in breast pathology

Ziba Gandomkar, Patrick C Brennan and Claudia Mello-Thoms

Journal of pathology informatics, Vol.7(1), pp.43-43

01/29/2016

DOI: 10.4103/2153-3539.192814

PMCID: PMC5100199

PMID: 28066683

Files and links (1)

url

https://doi.org/10.4103/2153-3539.192814View

Published (Version of record) Open Access

Abstract

Whole slide imaging (WSI) has the potential to be utilized in telepathology, teleconsultation, quality assurance, clinical education, and digital image analysis to aid pathologists. In this paper, the potential added benefits of computer-assisted image analysis in breast pathology are reviewed and discussed. One of the major advantages of WSI systems is the possibility of doing computer-based image analysis on the digital slides. The purpose of computer-assisted analysis of breast virtual slides can be (i) segmentation of desired regions or objects such as diagnostically relevant areas, epithelial nuclei, lymphocyte cells, tubules, and mitotic figures, (ii) classification of breast slides based on breast cancer (BCa) grades, the invasive potential of tumors, or cancer subtypes, (iii) prognosis of BCa, or (iv) immunohistochemical quantification. While encouraging results have been achieved in this area, further progress is still required to make computer-based image analysis of breast virtual slides acceptable for clinical practice.

whole slide imaging

Breast pathology

Review

breast virtual slides

image analysis

Details

Title: Subtitle: Computer-based image analysis in breast pathology
Creators: Ziba Gandomkar - Image Optimisation and Perception, Discipline of Medical Radiation Sciences, University of Sydney, Australia
Patrick C Brennan - Image Optimisation and Perception, Discipline of Medical Radiation Sciences, University of Sydney, Australia
Claudia Mello-Thoms - Image Optimisation and Perception, Discipline of Medical Radiation Sciences, University of Sydney, Australia
Resource Type: Journal article
Publication Details: Journal of pathology informatics, Vol.7(1), pp.43-43
DOI: 10.4103/2153-3539.192814
PMID: 28066683
PMCID: PMC5100199
NLM abbreviation: J Pathol Inform
ISSN: 2229-5089
eISSN: 2153-3539
Publisher: Medknow Publications & Media Pvt Ltd; India
Language: English
Date published: 01/29/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984051573602771

Metrics

18 Record Views