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Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncology
Sung Hak Lee, Hyun-Jong Jang
Clin Mol Hepatol. 2022;28(4):754-772.   Published online 2022 April 21    DOI: https://doi.org/10.3350/cmh.2021.0394

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Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncology
Clinical and Molecular Hepatology. 2022;28(4):754-772   Crossref logo
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1124O Prediction of distant relapse in patients with invasive breast cancer from deep learning models applied to digital pathology slides
Annals of Oncology. 2021;32:S921   Crossref logo
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Feasibility of deep learning‐based fully automated classification of microsatellite instability in tissue slides of colorectal cancer
International Journal of Cancer. 2021;149(3):728-740   Crossref logo
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P2.07-01 Deep-Learning Based Prediction of c-MET Status from Digitized H&E-Stained Non-Small Cell Lung Cancer Tissue Samples
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Tool wear assessment and life prediction model based on image processing and deep learning
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Deep Learning Based Automated tool for cancer diagnosis from bone histopathology images
2021 International Conference on Intelligent Technologies (CONIT). 2021;   Crossref logo
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Precision histology: how deep learning is poised to revitalize histomorphology for personalized cancer care
npj Precision Oncology. 2017;1(1):   Crossref logo
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Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer
International Journal of Cancer. 2022;152(2):298-307   Crossref logo
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Predictive Biomarkers in Lung Cancer
Predictive Biomarkers in Oncology. 2018;403-409   Crossref logo
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Diagnostic, Prognostic, and Predictive Biomarkers on Bladder Tissue and Blood
Precision Molecular Pathology of Bladder Cancer. 2017;117-136   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Clin Mol Hepatol has participated in CrossRef Text and Data Mining service since March 1, 2015.