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Automated Gleason Scoring and Tumor Quantification in Prostate Core Needle Biopsy Images Using Deep Neural Networks and Its Comparison with Pathologist-Based Assessment
The Gleason grading system, currently the most powerful prognostic predictor of prostate cancer, is based solely on the tumor’s histological architecture and has high inter-observer variability. We propose an automated Gleason scoring system based on deep neural networks for diagnosis of prostate co...
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| Published in: | Cancers (Basel) |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6966453/ https://ncbi.nlm.nih.gov/pubmed/31769420 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers11121860 |
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