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We developed a deep learning system (DLS) to predict disease specific survival across 10 cancer types from The Cancer Genome Atlas (TCGA). We used a weakly- ...
Dec 16, 2019 · We developed a deep learning system (DLS) to predict disease specific survival across 10 cancer types from The Cancer Genome Atlas (TCGA). We ...
Aug 8, 2024 · By developing and evaluating prognostic models across multiple cancer types, this work represents one of the most comprehensive studies ...
Deep learning-based survival prediction for multiple cancer types using histopathology images. from www.semanticscholar.org
This work developed a deep learning system (DLS) to predict disease specific survival across 10 cancer types from The Cancer Genome Atlas, using a ...
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We applied the trained models of the respective cancer types to predict gene expression on two external datasets: the TransNEO breast cancer cohort (TransNEO- ...
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Jan 18, 2024 · Full size image. Discussion. SCLC presents unique challenges in prognosis prediction and treatment compared to other lung cancer types.
Downloadable! Providing prognostic information at the time of cancer diagnosis has important implications for treatment and monitoring.
Oct 17, 2023 · Many computational methods have been proposed to predict survival using pathological images [9]. Detecting and classifying cells on ...
May 4, 2024 · We developed a deep learning system (DLS) to predict disease specific survival across 10 cancer types from The Cancer Genome Atlas (TCGA). We ...
Sep 6, 2022 · Newer studies that focus on grading and survival prediction by using histopathology images often make use of deep learning12,18,19,20,21,22,23.