We propose to perform cancer prognosis via lesion prioritization, which proceeds in two steps. First, a deep neural network is run on CT image patches ...
We propose and implement lesion prioritization, which predicts lesion-level risks and then aggregates them to pre- dict patient survival, as a framework for ...
Aug 25, 2024 · Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization ... Lung Cancer Treatment Response from Serial Medical Imaging.
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Ideally, during image response evaluation these conditions, together with tumor growth, should be monitored and quantified as they might hold valuable ...
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Deep Learning-Based Chest CT Image Features in Diagnosis ... - NCBI
www.ncbi.nlm.nih.gov › PMC8791752
Jan 19, 2022 · This study was to evaluate the diagnostic value of deep learning-optimized chest CT in the patients with lung cancer.
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Oct 19, 2023 · In this study, we developed an intelligent prognosis evaluation system (IPES) using pre-therapy CT images to assist the traditional TNM staging ...
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Oct 26, 2021 · The deep learning signature could help accurately predict N2 disease and stratify prognosis in patients with clinical stage I non–small cell ...
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May 12, 2020 · A deep learning model for preoperative chest CT predicted disease-free survival in patients with lung adenocarcinoma.
Jul 7, 2022 · The study demonstrated that deep learning models trained using pre-treatment FDG-PET/CT data perform well in predicting lung malignancy ...
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Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization ... deep learning model for predicting postoperative survival in pancreatic cancer ...