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A progressive phased attention model fusing histopathology and genomic features for lung cancer staging

2022-07-06

Abstract excerpt

Morphological information from histopathology slides and molecular profiles from genomic data are important for predicting the staging of lung cancer. However, most deep learning-based prediction results are based on histopathology or genomics alone, which do not fully utilize the complementary information of both and ignore staining differences in histopathology images due to different staining conditions. In thi...

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Literature Corpus work
4eefb8e9-4cf1-5b68-b760-1b75d7d0eafe
DOI
10.21203/rs.3.rs-1811260/v1
Open publication

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A progressive phased attention model fusing histopathology and genomic features for lung cancer stagingDOI 10.21203/rs.3.rs-1811260/v1
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