DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy
Author:
Affiliation:
1. Federal University of Pelotas, Brazil
2. Federal Institute of Education, Science and Technology Farroupilha, Brazil
3. Federal University of Santa Maria, Brazil
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ð Brasil (CAPES)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3658271.3658329
Reference20 articles.
1. Diabetic Retinopathy Fundus Image Classification and Lesions Localization System Using Deep Learning
2. Automatic Localization of Five Relevant Dermoscopic Structures Based on YOLOv8 for Diagnosis Improvement
3. Um novo método baseado em detector de dois estágios para segmentação de instância de lesões retinianas usando o modelo Mask R-CNN e a biblioteca Detectron2
4. B. Dwyer J. Nelson J. Solawetz 2022. Roboflow (Version 1.0). https://roboflow.com Computer vision.
5. P. A. Ferreira Sobrinho and T. T. Santos. 2021. Iboju: uma ferramenta de anotação de imagens para treinamento de detectores.. In Anais do XV Congresso Interinstitucional de Iniciação Científica. EMBRAPA Campinas SP Brazil 1–12.
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