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Contrastive learning in brain imaging
Computerized Medical Imaging and GraphicsContrastive learning is a type of deep learning technique trying to classify data or examples without requiring data labeling. Instead, it learns about the most representative features that contrast positive and negative pairs of examples. In literature of contrastive learning, terms of positive examples and negative examples do not mean whether the ...
Xiaoyin Xu, Stephen T.C. Wong
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Probability graph complementation contrastive learning
Neural NetworksGraph Neural Network (GNN) has achieved remarkable progress in the field of graph representation learning. The most prominent characteristic, propagating features along the edges, degrades its performance in most heterophilic graphs. Certain researches make attempts to construct KNN graph to improve the graph homophily.
Wenhao Jiang, Yuebin Bai
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
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Oral complications of cancer and cancer therapy
Ca-A Cancer Journal for Clinicians, 2012Joel B Epstein +2 more
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American Cancer Society Head and Neck Cancer Survivorship Care Guideline
Ca-A Cancer Journal for Clinicians, 2016Nader Sadeghi +2 more
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