"Feasibility study of deep neural networks to classify intracranial ..."

Mohammad Mahdi Shiraz Bhurwani et al. (2019)

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DOI: 10.1117/12.2512643

access: closed

type: Conference or Workshop Paper

metadata version: 2024-11-27

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Mohammad Mahdi Shiraz Bhurwani, Alexander R. Podgorsak, Anusha Ramesh Chandra, Ryan A. Rava, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging. Computer-Aided Diagnosis 2019: 109502A

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