133 citations · 273 across the 8 of their papers we have counts for
4 papers · 1 filter
Transformer-based end-to-end classification of variable-length volumetric data
Marzieh Oghbaie, Teresa Araujo, Taha Emre +2
The automatic classification of 3D medical data is memory-intensive. Also, variations in the number of slices between samples is common. Naïve solutions such as subsampling can sol…
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
Guilherme Aresta, Colin Jacobs, Teresa Araújo +4
We propose iW-Net, a deep learning model that allows for both automatic and interactive segmentation of lung nodules in computed tomography images. iW-Net is composed of two blocks…
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…
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…