Article

HCLmNet: A Unified Hybrid Continual Learning Strategy Multimodal Network for Lung Cancer Survival Prediction

2024-12-16

Abstract excerpt

Lung cancer survival prediction is a critical task in healthcare, where accurate and timely predictions can significantly impact patient outcomes. In hospital settings, new patient data is constantly generated, requiring predictive models to adapt without forgetting previously learned knowledge. This challenge is intensified by the need to seamlessly integrate complex multimodal data, such as imaging, DNA, and pat...

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Literature Corpus work: 317dfe7a-96b7-5510-a030-f6fd86f5831e
DOI: 10.1101/2024.12.14.24319041

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