Carlos Silva
Orcid: 0000-0001-8362-8984Affiliations:
- Federal Institute of Education, Science and Technology Farroupilha, Alegrete,Brazil
- Federal University of Pelotas, Postgraduate Program in Computing (PPGC), Brazil
- Federal University of Pampa, Alegrete, Brazil (2015 - 2017)
According to our database1,
Carlos Silva
authored at least 10 papers
between 2017 and 2024.
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Bibliography
2024
DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy.
Proceedings of the 20th Brazilian Symposium on Information Systems, 2024
2023
A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture.
IEEE Access, 2023
Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model.
Sensors, 2022
A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
2021
Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions.
Proceedings of the International Joint Conference on Neural Networks, 2021
Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2018
The Pattern Recognition in Cattle Brand using Bag of Visual Words and Support Vector Machines Multi-Class.
Inteligencia Artif., 2018
2017
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017