Fully Automated Segmentation of Head CT Neuroanatomy Using Deep Learning

To develop a deep learning model that segments intracranial structures on head CT scans. In this retrospective study, a primary dataset containing 62 normal noncontrast head CT scans from 62 patients (mean age, 73 years; age range, 27-95 years) acquired between August and December 2018 was used for...

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Veröffentlicht in:	Radiology. Artificial intelligence 2020-09, Vol.2 (5), p.e190183-e190183
Hauptverfasser:	Cai, Jason C, Akkus, Zeynettin, Philbrick, Kenneth A, Boonrod, Arunnit, Hoodeshenas, Safa, Weston, Alexander D, Rouzrokh, Pouria, Conte, Gian Marco, Zeinoddini, Atefeh, Vogelsang, David C, Huang, Qiao, Erickson, Bradley J
Format:	Artikel
Sprache:	eng
Schlagworte:	Original Research
Online-Zugang:	Volltext
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