Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute...
Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans
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Author / Creator
Ker, Justin , Singh, Satya P. , Bai, Yeqi , Rao, Jai , Lim, Tchoyoson and Wang, Lipo
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatment to improve patient outcome. Machine learning algorithms can be used to perform medical image classification and assist clinicians in diagnosing radiological scans. In this paper, we apply 3-dimensional convolutional neural networks (3D CNN) to clas...
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Full title
Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans
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TN_cdi_doaj_primary_oai_doaj_org_article_83f265284aaa4c79a4e77e61bf5a658b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_83f265284aaa4c79a4e77e61bf5a658b
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s19092167
