76 citations · 170 across the 5 of their papers we have counts for
4 papers · 1 filter
UOLO - automatic object detection and segmentation in biomedical images
Teresa Araújo, Guilherme Aresta, Adrian Galdran +3
We propose UOLO, a novel framework for the simultaneous detection and segmentation of structures of interest in medical images. UOLO consists of an object segmentation module which…
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis
Asim Smailagic, Hae Young Noh, Pedro Costa +6
Deep learning models have been successfully used in medical image analysis problems but they require a large amount of labeled images to obtain good performance.Deep learning model…
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Adrian Galdran, Aitor Alvarez-Gila, Maria Ines Meyer +7
Dermoscopic skin images are often obtained with different imaging devices, under varying acquisition conditions. In this work, instead of attempting to perform intensity and color…
Towards Adversarial Retinal Image Synthesis
Pedro Costa, Adrian Galdran, Maria Inês Meyer +4
Synthesizing images of the eye fundus is a challenging task that has been previously approached by formulating complex models of the anatomy of the eye. New images can then be gene…