Search Results - "Cho, Chang Gyu"
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Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings
Published in Scientific reports (09-03-2021)“…Computer-assisted reporting (CAR) tools were suggested to improve radiology report quality by context-sensitively recommending key imaging biomarkers. However,…”
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Machine learning on top of deep learning-based brain volumetry segmentation to support neuroradiologists in diagnosing neurodegenerative disorders
Published in Clinical neuroradiology (Munich) (01-09-2021)“…Background: We investigated whether supervised machine learning (ML) algorithms can be effectively applied to segmentation results of an FDA-approved deep…”
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THE HIDDEN PROWESS OF NLP AND RADIOLOGICAL REPORTS: A TEXT MINING PIPELINE FOR MACHINE LEARNING-ASSISTED DIAGNOSTICS AND REPORTING
Published in Clinical neuroradiology (Munich) (01-09-2019)“…Background: The value of radiological reports is often neglected and advancements in natural language processing (NLP) are forced to take a backseat behind the…”
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HOW TO BREAK THE BOTTLENECK OF AI-DRIVEN RADIOLOGY AND GET YOUR HANDS ON THE NEW GOLD: "RIPE" A SOLUTION FOR DATA EXTRACTION AND ANALYSIS PIPELINE
Published in Clinical neuroradiology (Munich) (01-09-2019)“…Hintergrund: In the new era of AI-driven radiology, data is the new gold. Still, data extraction and generation of high-quality labeled cohorts is extremely…”
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Machine Learning to Support Interventionalist in Patient Selection for Endovascular Thrombectomy: Early Identification of Cases with Dismal Outcome at Discharge
Published in Clinical neuroradiology (Munich) (01-09-2020)“…Background & Purpose: Patient selection for endovascular thrombectomy (EVT) is still a challenging task for neuroradiologists. Identifying patients at the…”
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Deep learning-based imaging classifier for improving differential diagnosis between primary and metastatic brain tumors
Published in Clinical neuroradiology (Munich) (01-09-2018)Get full text
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