170 citations · 300 across the 14 of their papers we have counts for
5 papers · 1 filter
Defect Segmentation in OCT scans of ceramic parts for non-destructive inspection using deep learning
Andrés Laveda-Martínez, Natalia P. García-de-la-Puente, Fernando García-Torres +6
Non-destructive testing (NDT) is essential in ceramic manufacturing to ensure the quality of components without compromising their integrity. In this context, Optical Coherence Tom…
Foundation Models for Slide-level Cancer Subtyping in Digital Pathology
Pablo Meseguer, Rocío del Amor, Adrian Colomer +1
Since the emergence of the ImageNet dataset, the pretraining and fine-tuning approach has become widely adopted in computer vision due to the ability of ImageNet-pretrained models…
Siamese Content-based Search Engine for a More Transparent Skin and Breast Cancer Diagnosis through Histological Imaging
Zahra Tabatabaei, Adrián Colomer, JAvier Oliver Moll +1
Computer Aid Diagnosis (CAD) has developed digital pathology with Deep Learning (DL)-based tools to assist pathologists in decision-making. Content-Based Histopathological Image Re…
Attention to detail: inter-resolution knowledge distillation
Rocío del Amor, Julio Silva-Rodríguez, Adrián Colomer +1
The development of computer vision solutions for gigapixel images in digital pathology is hampered by significant computational limitations due to the large size of whole slide ima…
Gleason Grading of Histology Prostate Images through Semantic Segmentation via Residual U-Net
Amartya Kalapahar, Julio Silva-Rodríguez, Adrián Colomer +2
Worldwide, prostate cancer is one of the main cancers affecting men. The final diagnosis of prostate cancer is based on the visual detection of Gleason patterns in prostate biopsy…