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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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Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a CNN in the MSRC-12 Database., , , , and . ISDA, volume 1351 of Advances in Intelligent Systems and Computing, page 590-599. Springer, (2020)Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions., , , and . IJCNN, page 1-8. IEEE, (2021)A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5., , , and . BIBM, page 3513-3520. IEEE, (2021)Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm., , , and . Appl. Artif. Intell., 33 (14): 1290-1305 (2019)Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy., , , and . EMBC, page 2692-2695. IEEE, (2021)Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a RNN in the MSRC-12., , , and . ISDA, volume 418 of Lecture Notes in Networks and Systems, page 498-507. Springer, (2021)Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering., , , and . SIBGRAPI, page 54-59. IEEE, (2019)A Mathematical Morphology-Based Filter for Noise Reduction and Detail Preservation in Low-Dose Dental CT Images., , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 253-257. IOS Press, (2019)Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm., , , , , , and . IJCNN, page 1-8. IEEE, (2023)Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for the MSRC-12 Dataset., , , and . ISDA (1), volume 940 of Advances in Intelligent Systems and Computing, page 230-239. Springer, (2018)