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Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
[article]
2023
arXiv
pre-print
Colorectal liver metastases (CLM) significantly impact colon cancer patients, influencing survival based on systemic chemotherapy response. Traditional methods like tumor grading scores (e.g., tumor regression grade - TRG) for prognosis suffer from subjectivity, time constraints, and expertise demands. Current machine learning approaches often focus on radiological data, yet the relevance of histological images for survival predictions, capturing intricate tumor microenvironment
arXiv:2311.10305v1
fatcat:jkmnkti3gvb4xas23z4uwcjvam