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Assessment of Emerging Pretraining Strategies in Interpretable Multimodal Deep Learning for Cancer Prognostication

2022-11-24

Abstract excerpt

Deep learning models have demonstrated the remarkable ability to infer cancer patient prognosis from molecular and anatomic pathology information. Studies in recent years have demonstrated that leveraging information from complementary multimodal data can improve prognostication, further illustrating the potential utility of such methods. Model interpretation is crucial for facilitating the clinical adoption of de...

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Literature Corpus work
7a107dc5-db45-597f-a649-1051bfc980ea
DOI
10.1101/2022.11.21.517440
Open publication

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Assessment of Emerging Pretraining Strategies in Interpretable Multimodal Deep Learning for Cancer PrognosticationDOI 10.1101/2022.11.21.517440
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