Acer Inc.

National Yang Ming Chiao Tung University

Acer Medical Inc.

Shih-Ho Huang

Cheng-Tien Hsieh

Liang-Kung Chen

Meng-Che Cheng

Ming-Tzuo Yin

Chun-Hsien Yu

Ching-Po Lin

Kun-Hsien Chou

A method and an apparatus for compensating image segmentation lines are provided. In the method, image segmentation is applied to a medical image captured by using a segmentation model to obtain a segmentation image including at least one segmentation line between multiple layers in the medical image. Convolution computation is then performed on the segmentation image by using a kernel of a trained classification model to predict a location of a next pixel connected to a current pixel in the respective segmentation line within the segmentation image, in which the pixel to be predicted is limited to a neighboring pixel of the current pixel in a prediction direction. The predicted pixels are connected to form a compensated segmentation line for each segmentation line.

Method and apparatus for compensating image segmentation lines

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

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Taipei, Taiwan

Shih-Ho Huang