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Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning., , , , , , , , , и 3 other автор(ы). Biomed. Signal Process. Control., 86 (Part C): 105336 (сентября 2023)H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis., , , , , , , , , и . Inf. Sci., (2022)A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma., , , , , , , , , и 3 other автор(ы). Biomed. Signal Process. Control., (2024)Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information., , , , , , , , , и 1 other автор(ы). Expert Syst. Appl., (2024)Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation., , , , , , , , , и . CoRR, (2023)Stereo Cross Global Learnable Attention Module for Stereo Image Super-Resolution., , , , , , , , и . CVPR Workshops, стр. 1416-1425. IEEE, (2023)Deep Learning Framework for Detecting Positive Lymph Nodes of Gastric Cancer on Histopathological Images., , , , , , , и . ICBSP, стр. 14-23. ACM, (2021)