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Automated Classification of Breast Cancer Stroma Maturity from Histological Images

Reis, S; Gazinska, P; Hipwell, J; Mertzanidou, T; Naidoo, K; Williams, N; Pinder, S; (2017) Automated Classification of Breast Cancer Stroma Maturity from Histological Images. IEEE Transactions on Biomedical Engineering , 64 (10) pp. 2344-2352. 10.1109/TBME.2017.2665602. Green open access

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Abstract

OBJECTIVE: The tumour microenvironment plays a crucial role in regulating tumour progression by a number of different mechanisms, in particular the remodelling of collagen fibres in tumour-associated stroma, which has been reported to be related to patient survival. The underlying motivation of this work is that remodelling of collagen fibres gives rise to observable patterns in Hematoxylin and Eosin (H&E) stained slides from clinical cases of invasive breast carcinoma that the pathologist can label as mature or immature stroma. The aim of this paper is to categorise and automatically classify stromal regions according to their maturity and show that this classification agrees with that of skilled observers, hence providing a repeatable and quantitative measure for prognostic studies. METHODS: We use multi-scale Basic Image Features (BIF) and Local Binary Patterns (LBP), in combination with a random decision trees classifier for classification of breast cancer stroma regions-ofinterest (ROI). RESULTS: We present results from a cohort of 55 patients with analysis of 169 ROI. Our multi-scale approach achieved a classification accuracy of 84%. CONCLUSION: This work demonstrates the ability of texture-based image analysis to differentiate breast cancer stroma maturity in clinically acquired H&E stained slides at least as well as skilled observers.

Type: Article
Title: Automated Classification of Breast Cancer Stroma Maturity from Histological Images
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TBME.2017.2665602
Publisher version: http://doi.org/10.1109/TBME.2017.2665602
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information see http://creativecommons.org/licenses/by/3.0/. Copyright © 2017 IEEE.
Keywords: Breast cancer, stroma maturity, histopathology, image classification
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1542883
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