National Yang Ming Chiao Tung University

Kaohsiung Chang Gung Memorial Hospital

Yu-Lin Yeh

Yong-Sheng Chen

Wei-Che Lin

Shih-Yen Lin

Pi-Ling Chiang

Evelyne Calista

Hsiang-Chun Yang

In an automated detection system for acute ischemic stroke, a preprocessor performs registration on a whole-brain image and a standard-brain spatial template to extract individual brain region masks from the whole-brain image. A deep learning encoder performs feature extraction on the whole-brain image and the individual brain region masks, thereby converting the whole-brain image into 2D whole-brain slice images. A first processor maps the individual brain masks onto the whole-brain slice images for registration, thereby generating sets of brain region slice images. A second processor computes the stroke-related weight values of the slice images of each of the sets of brain region slice images and sums the weight values to obtain the characteristic value of each brain region. A disparity-aware classifier determines whether any brain region has acute ischemic stroke according to the characteristic value of each brain region.

Automated detection system for acute ischemic stroke

Growing community of inventors

Taipei, Taiwan

Yu-Lin Yeh