National Yang Ming Chiao Tung University

Acer Inc.

Ching-Po Lin

Cheng-Tien Hsieh

Liang-Kung Chen

Meng-Che Cheng

Chun-Hsien Yu

Shih-Ho Huang

Chun-Yi Lo

Kun-Hsien Chou

Chu-Chung Huang

Shin-Tai Chong

A model training method and an electronic device are provided. The method includes the following steps: establishing a brain age prediction model according to a training set; adjusting a parameter in the brain age prediction model according to a validation set; inputting a test set into the brain age prediction model with the adjusted parameter to obtain a plurality of first predicted brain ages; determining whether the first predicted brain ages satisfy a first specific condition; and completing training of the brain age prediction model when the first predicted brain ages satisfy the first specific condition.

Model training method and electronic device

The present disclosure illustrates a method and an apparatus of fiber tracking, and non-transitory computer-readable medium thereof. In an embodiment, a fiber tracking process is performed on a diffusion magnetic resonance image of a subject's brain based on validated and better tracking parameters, so as to obtain first tracking images, nerve fibers between two first regions of interest in each of the first tracking images are extracted, a nerve fasciculus skeleton is established based on an overlapping process performed on the plurality of nerve fibers extracted from the first tracking images, and the nerve fibers more similar to the structure of the nerve fasciculus skeleton are selected to obtain a specific fasciculus of the subject. Thus, the technical solution of the present disclosure can be used to improve the sensitivity of fiber tracking and be useful for improvement of preoperative assessment and surgical navigation.

Method and apparatus of fiber tracking, and non-transitory computer-readable medium thereof

Growing community of inventors

Taipei, Taiwan

Ching-Po Lin