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Alejandro da Silva Pereira

None · Universidade Federal de Pelotas

https://researchid.co/adspereira
@portal.ufpel.edu.br
8Scopus Publications

Biography

Master's student in Computer Science at the Federal University of Pelotas (UFPEL). Graduated in Computer Science from UFPEL. From 2021 to 2022, he participated in scientific initiation programs funded by CNPq, working on the project of cyber-physical systems for pest management. His research has focused on the areas of Artificial Intelligence, especially using computer vision to solve health problems, and also in the area of ​​wireless sensor networks applied to pest management.

Recent Scopus Publications

  1. Retinal Lesion Detection and Segmentation Using a Region of Interest-Based Approach with YOLO11
    Lecture Notes in Computer Science, 2026
  2. A New Liquid-Based Cervical Cytology Dataset with a YOLO/EfficientNet-Based Detection and Classification Approach
    Lecture Notes in Computer Science, 2026
  3. DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy
    ACM International Conference Proceeding Series, 2024
  4. An Improved Approach for Semantic Segmentation of Fundus Lesions using R2U-Net
    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 2024
  5. Improved Detection of Fundus Lesions Using YOLOR-CSP Architecture and Slicing Aided Hyper Inference
    IEEE Latin America Transactions, 2023

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