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Carlos Silva 0003
Person information
- affiliation: Federal Institute of Education, Science and Technology Farroupilha, Alegrete,Brazil
- affiliation: Federal University of Pelotas, Postgraduate Program in Computing (PPGC), Brazil
- affiliation (2015 - 2017): Federal University of Pampa, Alegrete, Brazil
Other persons with the same name
- Carlos Silva — disambiguation page
- Carlos Silva 0001 — University of Minho, Department of Industrial Electronics, Braga, Portugal
- Carlos Silva 0002 — Kean University, Computer Science Department, Union, NJ, USA
- Carlos Hernandez da Silva
(aka: Carlos Silva 0004, Carlos Hernandez 0004) — Ubiwhere, São Félix da Marinha, Porto, Portugal (and 1 more)
- Carlos Silva 0005
- Carlos Silva 0006
- Carlos Silva 0007
- Carlos Santos — disambiguation page
- Carlos Santos 0001 — New University of Lisbon, Monte da Caparica, Portugal
- Carlos Santos 0002
- Carlos Santos 0003
- Carlos Santos 0004
- Carlos Santos 0005
- Carlos Santos 0006
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2020 – today
- 2024
- [c8]Alejandro Pereira, Carlos Santos
An Improved Approach for Semantic Segmentation of Fundus Lesions using R2U-Net. EMBC 2024: 1-4 - [c7]Marcelo Dias
DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy. SBSI 2024: 57:1-57:9 - 2023
- [j3]Carlos Silva
A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture. IEEE Access 11: 43603-43618 (2023) - [c6]Alejandro Pereira
Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm. IJCNN 2023: 1-8 - 2022
- [j2]Carlos Santos
A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model. Sensors 22(17): 6441 (2022) - [c5]Carlos Santos
A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy. CSCI 2022: 165-171 - 2021
- [c4]Carlos Santos
A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5. BIBM 2021: 3513-3520 - [c3]Carlos Santos
Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy. EMBC 2021: 2692-2695 - [c2]Carlos Santos
Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions. IJCNN 2021: 1-8
2010 – 2019
- 2018
- [j1]Carlos Silva
The Pattern Recognition in Cattle Brand using Bag of Visual Words and Support Vector Machines Multi-Class. Inteligencia Artif. 21(61): 1-13 (2018) - 2017
- [c1]Carlos Silva, Daniel Welfer, Juliano Weber:
Deep Learning Techniques Applied to the Cattle Brand Recognition. CIARP 2017: 635-642
Coauthor Index
aka: Marilton Sanchotene de Aguiar
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