Automated annotation of virtual dual stains to generate convolutional neural network for detecting cancer metastases in H&E-stained lymph nodes

Our study showed that it is possible to develop a high-performing CNN with no requirements for huge datasets or time-consuming manual annotations.

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Publication Details

Journal
Pathology - Research and Practice
Published
2025-04-17
DOI
https://doi.org/10.1016/j.prp.2025.155977
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated annotation of virtual dual stains to generate convolutional neural network for detecting cancer metastases in H&E-stained lymph nodes

Jeanette Bæhr Georgsen, Torben Steiniche, Patricia Switten Nielsen, Sebastian Andsager Højlund et al.
Pathology - Research and Practice
AI in cancer detection
article

Automated annotation of virtual dual stains to generate convolutional neural network for detecting cancer metastases in H&E-stained lymph nodes

Jeanette Bæhr Georgsen, Torben Steiniche, Patricia Switten Nielsen, Sebastian Andsager Højlund, Johan Bjorholm Mandrup
article en

Abstract

Our study showed that it is possible to develop a high-performing CNN with no requirements for huge datasets or time-consuming manual annotations.

Pathology - Research and PracticeVol. 270
Aarhus University Hospital (DK)
Openalex Percentile: Top 97%
AI in cancer detection
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