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A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN.

, , , , , and . Neurocomputing, (2021)

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U-net Based Method for Automatic Hard Exudates Segmentation in Fundus Images Using Inception Module and Residual Connection., , , , , , and . IEEE Access, (2020)Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts., , , , , , , , , and 2 other author(s). Comput. Math. Methods Medicine, (2020)Automatic Detection Approach for Bioresorbable Vascular Scaffolds Using a U-Shaped Convolutional Neural Network., , , , , , , and . IEEE Access, (2019)An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks., , , , , , , , , and 2 other author(s). IEEE Access, (2019)A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN., , , , , and . Neurocomputing, (2021)Self-Supervised Multimodal Learning: A Survey., , and . CoRR, (2023)Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations., , , , and . CoRR, (2023)MEDFAIR: Benchmarking Fairness for Medical Imaging., , and . ICLR, OpenReview.net, (2023)MEDFAIR: Benchmarking Fairness for Medical Imaging., , and . CoRR, (2022)VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning., , and . CoRR, (2024)