research
∙
07/13/2023
Transformer-based end-to-end classification of variable-length volumetric data
The automatic classification of 3D medical data is memory-intensive. Als...
share
research
∙
02/25/2022
Deep Dirichlet uncertainty for unsupervised out-of-distribution detection of eye fundus photographs in glaucoma screening
The development of automatic tools for early glaucoma diagnosis with col...
research
∙
11/08/2021
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
Breast cancer is the most common malignancy in women, being responsible ...
research
∙
10/25/2019
DR|GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
Diabetic retinopathy (DR) grading is crucial in determining the patients...
research
∙
10/09/2019
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance
Early diagnosis of lung cancer via computed tomography can significantly...
research
∙
11/30/2018
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
We propose iW-Net, a deep learning model that allows for both automatic ...
research
∙
10/09/2018
UOLO - automatic object detection and segmentation in biomedical images
We propose UOLO, a novel framework for the simultaneous detection and se...
research
∙
08/13/2018
BACH: Grand Challenge on Breast Cancer Histology Images
Breast cancer is the most common invasive cancer in women, affecting mor...
research
∙
03/10/2017
