76 citations · 157 across the 7 of their papers we have counts for
13 papers
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector
Pedro Costa, Yongpan Fu, João Nunes +2
Cancer is one of the leading causes of death in the developed world. Cancer diagnosis is performed through the microscopic analysis of a sample of suspicious tissue. This process i…
Enhancement of Retinal Fundus Images via Pixel Color Amplification
Alex Gaudio, Asim Smailagic, Aurélio Campilho
We propose a pixel color amplification theory and family of enhancement methods to facilitate segmentation tasks on retinal images. Our novel re-interpretation of the image distort…
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
Asim Smailagic, Anupma Sharan, Pedro Costa +3
Diabetic Retinopathy is the leading cause of blindness in the working-age population of the world. The main aim of this paper is to improve the accuracy of Diabetic Retinopathy det…
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…