Paper-Conference

Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation
Polyp segmentation is the foundation of colonoscopic lesion screening, diagnosis, and therapy. However, the data size of images and …
Code
Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
Retinal image analysis not only reveals the microscopic structure of the eye but also provides insights into overall health status. …
Code
FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images
Accurate automatic segmentation of the White Line of Toldt (WLT) is crucial for guiding colorectal cancer surgeries and improving …
Code
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 …
DOI
Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction
DOI
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 …
DOI
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
DOI
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 …
DOI
PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer
DOI