Kaohsiung Chang Gung Memorial Hospital

Industrial Technology Research Institute

National Yang Ming Chiao Tung University

Next E-Commerce Technology Co., Ltd.

Wei-Che Lin

Hui-Hsin Lu

Yong-Sheng Chen

Meng-Han Tsai

You-Nan Chen

Chi-Ying Lu

Ming-Chi Lin

Sheng-Dean Luo

Evelyne Calista

Shih-Yen Lin

Yu-Lin Yeh

Pi-Ling Chiang

Yueh-Sheng Chen

Jian-Feng Lin

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

A system and method of throat abnormal object recognition is disclosed. The system includes a throat abnormal object recognition device, a data source device, a display device, and an operation device connected to the throat abnormal object recognition device, the data source device, and the display device. The method includes the throat abnormal object recognition device generating operation parameters, the data source device generating an original X-ray image data, the throat abnormal object recognition device reading the original X-ray image data, performing a pre-stage process on the original X-ray image data to generate a pre-stage processed image data, performing a comparison process on the pre-stage processed image data to generate a comparison processed image data with an abnormal object image, employing a frame mark to mark the abnormal object image as a mark X-ray image, and employing the display device to display the mark X-ray image.

System and method of throat abnormal object recognition

Provided is a bipolar electrode probe, which includes a conductive needle, an insulation layer, a conductive sleeve, and an insulation sleeve. The conductive needle has a longitudinal direction and a transverse direction perpendicular to the longitudinal direction. The insulation layer covers the conductive needle and has a first opening. The conductive sleeve covers the insulation layer and has a second opening. The insulation sleeve covers the conductive sleeve. When the bipolar electrode probe is turned on, a longitudinal electric field is formed from a front end of the conductive needle to the conductive sleeve along the longitudinal direction. A transverse electric field is formed from the conductive needle to the conductive sleeve via the first opening and the second opening along the transverse direction.

Bipolar electrode probe

Growing community of inventors

Kaohsiung, Taiwan

Wei-Che Lin