24 citations · 28 across the 3 of their papers we have counts for
6 papers · 1 filter
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,…
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents
Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich +2
This paper describes two approaches for content-based image retrieval and pattern spotting in document images using deep learning. The first approach uses a pre-trained CNN model t…
Image Retrieval and Pattern Spotting using Siamese Neural Network
Kelly L. Wiggers, Alceu S. Britto, Laurent Heutte +2
This paper presents a novel approach for image retrieval and pattern spotting in document image collections. The manual feature engineering is avoided by learning a similarity-base…
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…
Multi-scale Forest Species Recognition Systems for Reduced Cost
Paulo R. Cavalin, Marcelo N. Kapp, Luiz S. Oliveira
This work focuses on cost reduction methods for forest species recognition systems. Current state-of-the-art shows that the accuracy of these systems have increased considerably in…
People Counting in Crowded and Outdoor Scenes using a Hybrid Multi-Camera Approach
Fabio Dittrich, Luiz E. S. de Oliveira, Alceu S. Britto +1
This paper presents two novel approaches for people counting in crowded and open environments that combine the information gathered by multiple views. Multiple camera are used to e…