58 citations · 67 across the 6 of their papers we have counts for
6 papers
Ordinal Semantic Segmentation Applied to Medical and Odontological Images
Mariana Dória Prata Lima, Gilson Antonio Giraldi, Jaime S. Cardoso
Semantic segmentation consists of assigning a semantic label to each pixel according to predefined classes. This process facilitates the understanding of object appearance and spat…
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar +86
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovatio…
Unimodal Distributions for Ordinal Regression
Jaime S. Cardoso, Ricardo Cruz, Tomé Albuquerque
In many real-world prediction tasks, class labels contain information about the relative order between labels that are not captured by commonly used loss functions such as multicat…
An interpretable machine learning system for colorectal cancer diagnosis from pathology slides
Pedro C. Neto, Diana Montezuma, Sara P. Oliveira +10
Considering the profound transformation affecting pathology practice, we aimed to develop a scalable artificial intelligence (AI) system to diagnose colorectal cancer from whole-sl…
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira +1
The increasing popularity of attention mechanisms in deep learning algorithms for computer vision and natural language processing made these models attractive to other research dom…
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…