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Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
- Publication Year :
- 2020
- Publisher :
- Nature Portfolio, 2020.
-
Abstract
- The early detection and accurate histopathological diagnosis of gastric cancer are essential factors that can help increase the chances of successful treatment. Here, the authors report on a digital pathology tool achieving high performance on a real world test dataset and show that the system can aid pathologists in improving diagnostic accuracy.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.67894aca423044e8966085a1a7cd5193
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-020-18147-8