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We propose a novel decouple-couple network (DCNet) to identify the DRM subtypes. Our DCNet firstly decouples the features of majority class as multiple ...
The gold standard for determining DRM subtypes is acquired by invasive biopsy and gene sequencing. Recent studies demonstrated that computed tomography (CT).
Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images. March 2022. DOI:10.1109/ISBI52829.2022.9761599.
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We retrospectively studied 18F-FDG PET/CT images of 148 patients with isolated lung lesions, which were scanned in two hospitals with different CT scan setting ...
Missing: Decouple- Couple Network
Feb 7, 2022 · This study aims to determine if the presence of specific clinical and computed tomography (CT) patterns are associated with epidermal growth ...
Jie Tian: Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images. ISBI 2022: 1-5; 2021. [j1]. view. electronic ...
Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Imag... · [Molecular mechanisms of targeted drug resistance in ...
Decouple-Couple Network for Drug-Resistant EGFR Mutation Subtype Prediction with Lung Cancer CT Images (conference). Zhu, Yongbei | Wang, Liusu | Yu, He ...
Either deep learning or radiomic signature-based models can provide a fairly accurate non-invasive prediction of EGFR expression status.
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Monoclonal antibodies have been developed that act against HER1/EGFR and HER2. Monoclonal antibodies block ligand binding and prevent ligand-induced activation.