Application of Deep Learning in Histopathology Images of Breast Cancer: A Review

Yue Zhao, Jie Zhang, Dayu Hu, Hui Yan Qu, Ye Tian, Xiaoyu Cui

Micromachines 2022 article cited by 42

Source Open-access PDF More in Medicine & Health

importance 7/10 ai assisted AI in cancer detection oncology pathology stage: research

Problem

Detection, segmentation and classification of breast cancer in histopathology images is difficult; the study reviews deep learning approaches to it.

Why it matters

Pathology image analysis is central to breast cancer diagnosis and treatment decisions.

What the AI did

Statistically analyzed 107 studies applying deep learning to breast cancer pathology images, covering detection, segmentation and classification directions.

Results

not stated in source

Impact

Review concludes deep learning shows significant ability on breast cancer pathology images; no original benchmark reported.

Record

Venue	Micromachines
Published	2022
Work type	article
Authors	Yue Zhao, Jie Zhang, Dayu Hu, Hui Yan Qu, Ye Tian, Xiaoyu Cui
Citations	42 (OpenAlex, at import time)
References	210
Model or method	not stated in source
Organization	not stated in source
Primary source	https://doi.org/10.3390/mi13122197
Open access	gold
Keywords	deep learning, breast cancer, histopathology, image analysis, review

Importance rating

7 / 10

significant — thousands to millions affected

Abstract states pathology image analysis is central to breast cancer diagnosis/treatment and that deep learning accuracy surpassed pathologists in certain circumstances; major health impact, review only.

Basis: stated. The source itself states the scale. Stated scale: not stated in source. Method and limits.

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