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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...
Autores principales: | Ryu, Han Suk, Jin, Min-Sun, Park, Jeong Hwan, Lee, Sanghun, Cho, Joonyoung, Oh, Sangjun, Kwak, Tae-Yeong, Woo, Junwoo Isaac, Mun, Yechan, Kim, Sun Woo, Hwang, Soohyun, Shin, Su-Jin, Chang, Hyeyoon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966453/ https://www.ncbi.nlm.nih.gov/pubmed/31769420 http://dx.doi.org/10.3390/cancers11121860 |
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