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Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification.

, , , , , , , and . ICIP, page 205-209. IEEE, (2021)

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How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China., , , , , , and . J. Am. Medical Informatics Assoc., 29 (12): 2041-2049 (2022)Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification., , , , , , , and . ICIP, page 205-209. IEEE, (2021)Lung Infection Quantification of COVID-19 in CT Images with Deep Learning., , , , , , , , and . CoRR, (2020)Periphery-aware COVID-19 diagnosis with contrastive representation enhancement., , , , , , , and . Pattern Recognit., (2021)Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning., , , , , and . Comput. Biol. Medicine, (June 2023)Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field., , , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 476-484. Springer, (2019)Towards Unified Surgical Skill Assessment., , , , , , and . CVPR, page 9522-9531. Computer Vision Foundation / IEEE, (2021)Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification., , , , , , , , , and . CoRR, (2020)Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT., , , , , , , , , and 8 other author(s). IEEE J. Biomed. Health Informatics, 24 (10): 2798-2805 (2020)CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis., , , , , and . ICCVW, page 454-461. IEEE, (2021)