Bi-omics prognostic model for invasive ductal carcinoma using deep learning
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- Bi-omics prognostic model for invasive ductal carcinoma using deep learning
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A multi-omics signature to predict the prognosis of invasive ductal carcinoma of the breast
Abstract BackgroundPrecisely evaluating the prognosis of invasive ductal carcinoma (IDC) of the breast is challenging as most prognostic signatures use single-omics data based on gene or clinical information.
MethodsWhole-slide images (WSIs), ...
Highlights- The method for WSI preprocessing and feature extraction was proposed and tested.
- A multi-omics model was established by combining CAF genes, WSI features, and lymph node status.
- Multi-omics model showed excellent performance in ...
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Association for Computing Machinery
New York, NY, United States
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