9 citations · 12 across the 2 of their papers we have counts for
4 papers · 1 filter
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)…
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…
Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circmpapillary OCT Images
Gabriel García, Adrián Colomer, Valery Naranjo
Taking into account that glaucoma is the leading cause of blindness worldwide, we propose in this paper three different learning methodologies for glaucoma detection in order to el…
Glaucoma Detection From Raw Circumapillary OCT Images Using Fully Convolutional Neural Networks
Gabriel García, Rocío del Amor, Adrián Colomer +1
Nowadays, glaucoma is the leading cause of blindness worldwide. We propose in this paper two different deep-learning-based approaches to address glaucoma detection just from raw ci…