Conference Paper

Cross-Level Contrastive Learning and Consistency Constraint for Semi-Supervised Medical Image Segmentation
Background: Semi-supervised learning (SSL), which aims at leveraging a few labeled images and a large number of unlabeled images for …
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Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction
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Deep learning-derived spatial organization features on histopathology images to predict prognosis in patients with colorectal liver metastasis, after hepatectomy.
Background: Histopathological images of colorectal liver metastasis (CRLM) contain rich morphometric information that may predict …
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Immunological profiling of human colorectal cancer defines four distinct molecular subtypes
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Senescence-Based Colorectal Cancer Subtyping Reveals Distinct Molecular Characteristics and Therapeutic Strategies
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A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
Background: As important molecules in the CRC tumor microenvironment (TME), long non-coding RNAs (lncRNAs) regulate the functions of …
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PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer
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Cross-level contrastive learning and consistency constraint for semi-supervised medical image segmentation
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Lesion-aware dynamic kernel for polyp segmentation
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A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
Background: Primary tumor sidedness has been found to be prognostic in colorectal cancer (CRC), with right-sided colon cancer (RCC) …
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