Medical image captioning bridges visual perception and clinical language, but its development is limited by the high cost of detailed anatomical annotation and by the risk of hallucinations or ...
Class imbalance remains a critical challenge in semi-supervised learning (SSL), especially when distributional mismatches between labeled and unlabeled data lead to biased classification. Although ...
Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, 41 Dinh Tien Hoang, District 1, Ho Chi Minh City 700000, Vietnam ...
Abstract: Semi-supervised learning (SSL) methods have shown promising results in solving many practical problems when only a few labels are available. The existing methods assume that the class ...
Abstract: One challenge of learning from streaming data is that only a limited number of labeled examples are available, making semi-supervised learning (SSL) algorithms becoming an efficient tool for ...
Manual inspection of histopathological images is important in clinical cancer diagnosis. Pathologists implement pathological diagnosis and prognostic evaluation through the microscopic examination of ...
X. Xu, T. Sanford, B. Turkbey, S. Xu, B. J. Wood and P. Yan, "Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation," in IEEE Transactions ...
New research reveals that infants can use even a few labeled examples to spark the acquisition of object categories. Those labeled examples lead infants to initiate the process of categorization, ...
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