Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
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Summary
In the setting of a challenge competition, some deep learning algorithms achieved better diagnostic performance than a panel of 11 pathologists participating in a simulation exercise designed to mimic routine pathology workflow; algorithm performance was comparable with an expert pathologist interpreting whole-slide images without time constraints.
- Type
- article
- Published
- 2017-12-12
- Cited by
- 3,230
- References
- 71
- Access
- Open access
- OpenAlex
- https://openalex.org/W2772723798
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:205086555
Keywords
Medicine, Lymph node, Algorithm, H&E stain, Receiver operating characteristic
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- Using Free-Response Receiver Operating Characteristic Curves to Assess the Accuracy of Machine Diagnosis of Cancer.
- Deep Learning Algorithms for Detection of Lymph Node Metastases From Breast Cancer: Helping Artificial Intelligence Be Seen.
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