12 citations · 15 across the 5 of their papers we have counts for
6 papers
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities
Jean Marie Tshimula, Mitterrand Kalengayi, Dieumerci Makenga +28
Artificial Intelligence (AI) is revolutionizing various fields, including public health surveillance. In Africa, where health systems frequently encounter challenges such as limite…
Multiscale Analysis for Improving Texture Classification
Steve T. M. Ataky, Diego Saqui, Jonathan de Matos +2
Information from an image occurs over multiple and distinct spatial scales. Image pyramid multiresolution representations are a useful data structure for image analysis and manipul…
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform
Steve Tsham Mpinda Ataky, Alessandro Lameiras Koerich
Breast cancer is a health problem that affects mainly the female population. An early detection increases the chances of effective treatment, improving the prognosis of the disease…
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,…
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…
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…