Search Results for author: Javier M. Romero

Found 1 papers, 0 papers with code

Deep Learning Based Detection and Localization of Intracranial Aneurysms in Computed Tomography Angiography

no code implementations22 May 2020 Dufan Wu, Daniel Montes, Ziheng Duan, Yangsibo Huang, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li

Purpose: To develop CADIA, a supervised deep learning model based on a region proposal network coupled with a false-positive reduction module for the detection and localization of intracranial aneurysms (IA) from computed tomography angiography (CTA), and to assess our model's performance to a similar detection network.

Region Proposal Specificity

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