Article

Clinical Validation of a Deep Learning Model forSegmenting and Quantifying Intracranial andVentricular Volumes on Computed Tomography

2024-10-03

Abstract excerpt

<title>Abstract</title> <p>The field of radiology is experiencing a surge in demand due to advances in medical imaging, particularly in techniques suchas magnetic resonance imaging and computed tomography (CT). However, the interpretation of these scans relies heavilyon the availability of experts, which is challenging in resource-limited regions. Recent advances in artificial intelligence anddeep learning offer...

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Literature Corpus work: e911cbe1-f2cd-5925-9762-8f2efa41b15f
DOI: 10.21203/rs.3.rs-4947326/v1

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