24 citations · 27 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
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,…
Texture CNN for Histopathological Image Classification
Jonathan de Matos, Alceu de S. Britto, Luiz E. S. de Oliveira +1
Biopsies are the gold standard for breast cancer diagnosis. This task can be improved by the use of Computer Aided Diagnosis (CAD) systems, reducing the time of diagnosis and reduc…
Histopathologic Image Processing: A Review
Jonathan de Matos, Alceu de Souza Britto, Luiz E. S. Oliveira +1
Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in…
Double Transfer Learning for Breast Cancer Histopathologic Image Classification
Jonathan de Matos, Alceu de S. Britto, Luiz E. S. Oliveira +1
This work proposes a classification approach for breast cancer histopathologic images (HI) that uses transfer learning to extract features from HI using an Inception-v3 CNN pre-tra…