534 citations · 536 across the 5 of their papers we have counts for
6 papers
ORCNet: A context-based network to simultaneously segment the ocular region components
Diego Rafael Lucio, Luiz A. Zanlorensi, Yandre Maldonado e Gomes da Costa +1
Accurate extraction of the Region of Interest is critical for successful ocular region-based biometrics. In this direction, we propose a new context-based segmentation approach, en…
Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images
Gustavo Z. Felipe, Jacqueline N. Zanoni, Camila C. Sehaber-Sierakowski +6
Studies recently accomplished on the Enteric Nervous System have shown that chronic degenerative diseases affect the Enteric Glial Cells (EGC) and, thus, the development of recogni…
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira, Rodolfo M. Pereira, Diego Bertolini +4
COVID-19 frequently provokes pneumonia, which can be diagnosed using imaging exams. Chest X-ray (CXR) is often useful because it is cheap, fast, widespread, and uses less radiation…
A multimodal approach for multi-label movie genre classification
Rafael B. Mangolin, Rodolfo M. Pereira, Alceu S. Britto +4
Movie genre classification is a challenging task that has increasingly attracted the attention of researchers. In this paper, we addressed the multi-label classification of the mov…
Single-sample writers -- "Document Filter" and their impacts on writer identification
Fabio Pinhelli, Alceu S. Britto, Luiz S. Oliveira +2
The writing can be used as an important biometric modality which allows to unequivocally identify an individual. It happens because the writing of two different persons present dif…
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira +2
The COVID-19 can cause severe pneumonia and is estimated to have a high impact on the healthcare system. The standard image diagnosis tests for pneumonia are chest X-ray (CXR) and…