A novel MIL architecture predicts zero-inflated beta parameters for TPS distributions in NSCLC using slide-level supervision.
JCO Precision Oncology (May 2024), https://ascopubs.org/doi/10.1200/PO.23.00556 10 K
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Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
A novel MIL architecture predicts zero-inflated beta parameters for TPS distributions in NSCLC using slide-level supervision.