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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966453/
https://www.ncbi.nlm.nih.gov/pubmed/31769420
http://dx.doi.org/10.3390/cancers11121860

Ejemplares similares