Wistron Corporation

Guan Yi Chian

Kuan-I Chung

A medical auxiliary information generation method and a medical auxiliary information generation system are provided. The method includes: obtaining a physiological image; identifying a target image region from the physiological image through at least one artificial intelligence model, wherein each pixel position in the target image region corresponds to an estimation value, and the estimation value meets a default condition; determining at least one target pixel position in the target image region according to a numerical distribution of the estimation value; and generating medical auxiliary information according to the target pixel position, wherein the medical auxiliary information carries prompt information related to the target pixel position.

Medical auxiliary information generation method and medical auxiliary information generation system

An embodiment of the invention provides a processing method of a medical image and a computing apparatus for processing a medical image. In the method, one or more image samples are obtained, a tumor region and an appearance feature thereof in the image sample are marked, and an image recognition model is trained according to the image sample, the tumor region thereof, and an appearance feature of a first tumor. The image sample is an image obtained by photographing an animal body. The appearance feature represents an appearance of the first tumor corresponding to the tumor region. The image recognition model identifies a second tumor in an image to be evaluated is a first type. The first type is related to the tumor region and the appearance feature of the first tumor. Accordingly, a prediction accuracy may be improved.

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Taipei, Taiwan

Guan Yi Chian