Carlos Silva

According to our database, Carlos Silva authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A New Liquid-Based Cervical Cytology Dataset with a YOLO/EfficientNet-Based Detection and Classification Approach.

Pablo D. Cuña, Daniel Welfer, Carlos Silva, Marilton S. de Aguiar, Alejandro Pereira, Marcelo Dias, Rodrigo da Silva Guerra

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2025

Retinal Lesion Detection and Segmentation Using a Region of Interest-Based Approach with YOLO11.

Marcelo Dias, Carlos Silva, Alejandro Pereira, Marilton S. de Aguiar, Daniel Welfer

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2024

DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy.

Marcelo Dias, Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Alejandro Pereira, Fernando Ollé

Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

An Improved Approach for Semantic Segmentation of Fundus Lesions using R2U-Net.

Alejandro Pereira, Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Rafaela de Menezes, Paulo Roberto Ferreira, Fábio D. Rossi, Marcos Cordeiro d'Ornellas, Carlos Jesus Pereira Haygert, Juliano F. Kazienko, Fábio Comim, Aurélio Hoppe, Juliano Weber, Leandro Tavares, Leonardo Guths, Rodrigo da Silva Guerra

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture.

Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni

IEEE Access, 2023

Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm.

Alejandro Pereira, Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Marcelo Ribeiro, Reza Ahmadi

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.

Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Bruno Belloni

Sensors, 2022

A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy.

Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Marcelo Silva, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni

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.

Carlos Santos, Marilton Sanchotene de Aguiar, Daniel Welfer, Bruno Belloni

Proceedings of the International Joint Conference on Neural Networks, 2021

Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy.

Carlos Santos, Marilton Sanchotene de Aguiar, Daniel Welfer, Bruno Belloni

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.

Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Bruno Belloni

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.

Carlos Silva, Daniel Welfer, Cláudia Dornelles

Inteligencia Artif., 2018

2017

Deep Learning Techniques Applied to the Cattle Brand Recognition.

Carlos Silva, Daniel Welfer, Juliano Weber

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017