3 papers
cs.CV2021
Machine Learning Methods for Histopathological Image Analysis: A Review
Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto +2
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is not only time and resource consuming,…
cs.CV2021
A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic Measures
Steve Tsham Mpinda Ataky, Alessandro Lameiras Koerich
Texture can be defined as the change of image intensity that forms repetitive patterns, resulting from physical properties of the object's roughness or differences in a reflection…
eess.IV2020
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending
Steve Tsham Mpinda Ataky, Jonathan de Matos, Alceu de S. Britto +2
Data imbalance is a major problem that affects several machine learning (ML) algorithms. Such a problem is troublesome because most of the ML algorithms attempt to optimize a loss…