170 citations · 382 across the 18 of their papers we have counts for
4 papers · 1 filter
Prostate Gland Segmentation in Histology Images via Residual and Multi-Resolution U-Net
Julio Silva-Rodríguez, Elena Payá-Bosch, Gabriel García +2
Prostate cancer is one of the most prevalent cancers worldwide. One of the key factors in reducing its mortality is based on early detection. The computer-aided diagnosis systems f…
Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection
Julio Silva-Rodríguez, Adrián Colomer, María A. Sales +2
The Gleason scoring system is the primary diagnostic and prognostic tool for prostate cancer. In recent years, with the development of digitisation devices, the use of computer vis…
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
Julio Silva-Rodríguez, Adrián Colomer, Valery Naranjo
Prostate cancer is one of the main diseases affecting men worldwide. The Gleason scoring system is the primary diagnostic tool for prostate cancer. This is obtained via the visual…
Self-learning for weakly supervised Gleason grading of local patterns
Julio Silva-Rodríguez, Adrián Colomer, Jose Dolz +1
Prostate cancer is one of the main diseases affecting men worldwide. The gold standard for diagnosis and prognosis is the Gleason grading system. In this process, pathologists manu…