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

, , , , , , and . IJCNN, page 1-8. IEEE, (2023)

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Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm., , , , , , and . IJCNN, page 1-8. IEEE, (2023)A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy., , , , , , and . CSCI, page 165-171. IEEE, (2022)DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy., , , , , and . SBSI, page 57:1-57:9. ACM, (2024)Fibrillarin evolution through the Tree of Life: Comparative genomics and microsynteny network analyses provide new insights into the evolutionary history of Fibrillarin., , , , , , , and . PLoS Comput. Biol., (2020)PBL strategy for Learning Maintenance Engineering., , , and . EDUCON, page 1316-1321. IEEE, (2022)Educational Test-bed for Maintenance 4.0., , , and . EDUCON, page 1310-1315. IEEE, (2022)Educational project for remote access to industrial networks., , , and . EDUCON, page 1-6. IEEE, (2024)Genomic-World Fungi Data: Synteny Part., , and . WSDM, page 1194-1195. ACM, (2024)The SM-TMC (South Mediterranean Tunisian Maintenance Centre of Excellence) project., , , , , and . EDUCON, page 2007-2012. IEEE, (2022)Cross-Cultural Comparisons of Unconstrained Body Responses to Argentinian and Afro-Brazilian Music., , , , , and . CMMR, volume 9617 of Lecture Notes in Computer Science, page 464-482. (2015)