Deep learning approaches for breast cancer detection in histopathology images: A review

Lakshmi Priya C V, Vinai George Biju, Vinod B R, Sivakumar Ramachandran

Cancer Biomarkers 2024 article cited by 44

importance 9/10 partially solved AI in cancer detection oncology stage: research

Detecting and classifying breast cancer from histopathology images automatically, since manual analysis is essential but challenging.

Breast cancer is a leading cause of death in women worldwide.

This is a review surveying deep learning algorithms for breast cancer detection/classification from histopathology images, covering datasets, architectures, strengths, weaknesses and challenges.

not stated in source

Summarizes the state of the art; no new performance is demonstrated in the abstract.

Venue Cancer Biomarkers
Published 2024
Work type article
Authors Lakshmi Priya C V, Vinai George Biju, Vinod B R, Sivakumar Ramachandran
Citations 44 (OpenAlex, at import time)
References 91
Model or method not stated in source
Organization not stated in source
Primary source https://doi.org/10.3233/cbm-230251
Open access hybrid
Keywords deep learning, breast cancer, histopathology, image classification, review
9 / 10

major — millions of lives, an industry or a field

Abstract states breast cancer is one of the leading causes of death in women worldwide; automated histopathology detection/classification could aid diagnosis; review summarizes state of the art with no new results.

Basis: stated. The source itself states the scale. Stated scale: one of the leading causes of death in women worldwide. Method and limits.

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