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Replication Data for: A Multimodal Fusion Model Incorporating Radiomics and Radiogenomics for Predicting Brain Metastases in Patients with EGFR-Positive Lung Adenocarcinoma
Jan 2, 2025
guan, chao, 2025, "Replication Data for: A Multimodal Fusion Model Incorporating Radiomics and Radiogenomics for Predicting Brain Metastases in Patients with EGFR-Positive Lung Adenocarcinoma", https://doi.org/10.7910/DVN/PAETHS, Harvard Dataverse, V1, UNF:6:rHsynxLTF8/YD6TpZNPPUA== [fileUNF]
A Multimodal Fusion Model Incorporating Radiomics and Radiogenomics for Predicting Brain Metastases in Patients with EGFR-Positive Lung Adenocarcinoma Purpose of the dataset: To predict lung cancer brain metastases based on radiomics Baseline lung computed tomography (CT) imaging data were collected from 173 patients with pathologically diagnosed l...
radiomics_data.tab
Jan 2, 2025 - Replication Data for: A Multimodal Fusion Model Incorporating Radiomics and Radiogenomics for Predicting Brain Metastases in Patients with EGFR-Positive Lung Adenocarcinoma
Tabular Data - 2.6 MB - 1336 Variables, 173 Observations - UNF:6:rHsynxLTF8/YD6TpZNPPUA==
radiomics data
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