Conference Paper

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 patient outcomes. However, the complex anatomical …

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Ke-Cheng WU

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. Therefore, employing multi-task learning to …

Jing Yang

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 annotations is limited. The latent diffusion …

Riyu Qiu

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 network training, is beneficial for …

Xinkai Zhao

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 patient outcomes, but current indicators …

Xin Wang

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 tumor infiltrating immune cells and sculpt …

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Chu-Ling HU