133 citations · 307 across the 8 of their papers we have counts for
9 papers
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization
Eduardo Conde-Sousa, João Vale, Ming Feng +15
Breast cancer is the most common malignancy in women, being responsible for more than half a million deaths every year. As such, early and accurate diagnosis is of paramount import…
LNDb: A Lung Nodule Database on Computed Tomography
João Pedrosa, Guilherme Aresta, Carlos Ferreira +8
Lung cancer is the deadliest type of cancer worldwide and late detection is the major factor for the low survival rate of patients. Low dose computed tomography has been suggested…
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance
Guilherme Aresta, Carlos Ferreira, João Pedrosa +8
Early diagnosis of lung cancer via computed tomography can significantly reduce the morbidity and mortality rates associated with the pathology. However, search lung nodules is a h…
DRGRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
Teresa Araújo, Guilherme Aresta, Luís Mendonça +5
Diabetic retinopathy (DR) grading is crucial in determining the adequate treatment and follow up of patients, but the screening process can be tiresome and prone to errors. Deep le…
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…