activity
20192021
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations · 1.2k across the 11 of their papers we have counts for

collaborators

13 papers

eess.IV20212 cited

Looking at the whole picture: constrained unsupervised anomaly segmentation

Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz

Current unsupervised anomaly localization approaches rely on generative models to learn the distribution of normal images, which is later used to identify potential anomalous regio…

eess.IV2021

A Novel Self-Learning Framework for Bladder Cancer Grading Using Histopathological Images

Gabriel García, Anna Esteve, Adrián Colomer +2

Recently, bladder cancer has been significantly increased in terms of incidence and mortality. Currently, two subtypes are known based on tumour growth: non-muscle invasive (NMIBC)…

eess.IV2021

Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks

Gabriel García, Rocío del Amor, Adrián Colomer +3

Glaucoma is one of the leading causes of blindness worldwide and Optical Coherence Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of the st…

eess.IV202112 cited

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…

eess.IV2021170 cited

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…

eess.IV202152 cited

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…