Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review

With the advance of digital pathology, image analysis has begun to show its advantages in information analysis of hematoxylin and eosin histopathology images. Generally, histological features in hematoxylin and eosin images are measured to evaluate tumor grade and prognosis for breast cancer. This r...

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Main Authors: Jia-Mei Chen, Yan Li, Jun Xu, Lei Gong, Lin-Wei Wang, Wen-Lou Liu, Juan Liu
Format: Article
Language:English
Published: SAGE Publishing 2017-03-01
Series:Tumor Biology
Online Access:https://doi.org/10.1177/1010428317694550
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author Jia-Mei Chen
Yan Li
Jun Xu
Lei Gong
Lin-Wei Wang
Wen-Lou Liu
Juan Liu
author_facet Jia-Mei Chen
Yan Li
Jun Xu
Lei Gong
Lin-Wei Wang
Wen-Lou Liu
Juan Liu
author_sort Jia-Mei Chen
collection DOAJ
description With the advance of digital pathology, image analysis has begun to show its advantages in information analysis of hematoxylin and eosin histopathology images. Generally, histological features in hematoxylin and eosin images are measured to evaluate tumor grade and prognosis for breast cancer. This review summarized recent works in image analysis of hematoxylin and eosin histopathology images for breast cancer prognosis. First, prognostic factors for breast cancer based on hematoxylin and eosin histopathology images were summarized. Then, usual procedures of image analysis for breast cancer prognosis were systematically reviewed, including image acquisition, image preprocessing, image detection and segmentation, and feature extraction. Finally, the prognostic value of image features and image feature–based prognostic models was evaluated. Moreover, we discussed the issues of current analysis, and some directions for future research.
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institution DOAJ
issn 1423-0380
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publishDate 2017-03-01
publisher SAGE Publishing
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series Tumor Biology
spelling doaj-art-757b03fe8a99472783bfd27c8bfd524c2025-08-20T02:52:08ZengSAGE PublishingTumor Biology1423-03802017-03-013910.1177/1010428317694550Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A reviewJia-Mei Chen0Yan Li1Jun Xu2Lei Gong3Lin-Wei Wang4Wen-Lou Liu5Juan Liu6Department of Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory of Tumor Biological Behaviors & Hubei Cancer Clinical Study Center, Wuhan, ChinaDepartment of Peritoneal Cancer Surgery, Beijing Shijitan Hospital of Capital Medical University, Beijing, ChinaJiangsu Key Laboratory of Big Data Analysis Technique, Nanjing University of Information Science and Technology, Nanjing, ChinaJiangsu Key Laboratory of Big Data Analysis Technique, Nanjing University of Information Science and Technology, Nanjing, ChinaDepartment of Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory of Tumor Biological Behaviors & Hubei Cancer Clinical Study Center, Wuhan, ChinaDepartment of Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory of Tumor Biological Behaviors & Hubei Cancer Clinical Study Center, Wuhan, ChinaState Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, ChinaWith the advance of digital pathology, image analysis has begun to show its advantages in information analysis of hematoxylin and eosin histopathology images. Generally, histological features in hematoxylin and eosin images are measured to evaluate tumor grade and prognosis for breast cancer. This review summarized recent works in image analysis of hematoxylin and eosin histopathology images for breast cancer prognosis. First, prognostic factors for breast cancer based on hematoxylin and eosin histopathology images were summarized. Then, usual procedures of image analysis for breast cancer prognosis were systematically reviewed, including image acquisition, image preprocessing, image detection and segmentation, and feature extraction. Finally, the prognostic value of image features and image feature–based prognostic models was evaluated. Moreover, we discussed the issues of current analysis, and some directions for future research.https://doi.org/10.1177/1010428317694550
spellingShingle Jia-Mei Chen
Yan Li
Jun Xu
Lei Gong
Lin-Wei Wang
Wen-Lou Liu
Juan Liu
Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
Tumor Biology
title Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
title_full Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
title_fullStr Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
title_full_unstemmed Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
title_short Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
title_sort computer aided prognosis on breast cancer with hematoxylin and eosin histopathology images a review
url https://doi.org/10.1177/1010428317694550
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