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DeepPMD: A Comprehensive Deep Learning Framework for Primary-Metastatic Classification and Origin Prediction in Lung Adenocarcinoma – Multi-Center Whole Slide Image Validation

2025-11-04

Abstract excerpt

<title>Abstract</title> <p>Background Among solid malignancies, metastatic spread accounts for ~ 90% of cancer-related deaths. For unknown pulmonary lesions, accurate diagnosis is crucial for treatment. In diagnostically challenging cases like second primary tumor and cancer of unknown primary (CUP), traditional morphological analysis and immunohistochemistry (IHC) often remain inconclusive, delaying critical the...

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Literature Corpus work
a80762b0-9faf-5013-a5bc-6e0af2aa8bcb
DOI
10.21203/rs.3.rs-7819870/v1
Open publication

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DeepPMD: A Comprehensive Deep Learning Framework for Primary-Metastatic Classification and Origin Prediction in Lung Adenocarcinoma – Multi-Center Whole Slide Image ValidationDOI 10.21203/rs.3.rs-7819870/v1
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