National Cheng-kung University

Yi-Shan Tsai

Cheng-Shih Lai

Po-Tsun Kuo

Meng-Jhen Wu

Chao-Yun Chen

Wei-Cheng Su

Hsin-Yi Feng

Yun-Chiao Wu

Kai-Yi Wang

Tsung-Han Lee

Yu-Hsuan Lai

Bow Wang

An image segmentation method includes the following steps: obtaining a target image; inputting the target image into a machine learning model to obtain an image segmentation parameter value corresponding to the target image; executing an image segmentation algorithm on the target image according to the image segmentation parameter value to obtain an image segmentation result, wherein the image segmentation result is segmenting the target image into object regions; and displaying the image segmentation result. In addition, an electronic device and storage medium using the method are also provided.

Image segmentation method and electronic device and storage medium using the method thereof

The present invention relates to a method for measuring muscle mass, including: a first selection step, wherein a frame selection information is obtained by using a frame to select a fascia region from a provided computed tomography image under the condition that the window width ranges from 300 HU to 500 HU and the window level ranges from 40 HU to 50 HU, wherein the selected range of the fascia region includes a muscle; and a second selection step, wherein a muscle information of the muscle is obtained by calculating a pixel value in the frame-selected fascia region under the condition that the HU value of the CT image ranges from −29 HU to 150 HU.

Method for measuring muscle mass

An interactive image marking method is introduced. The interactive image marking method includes the following steps, displaying a target image and at least one marked region in the target image; receiving an interactive signal, where the interactive signal corresponds to a first pixel of the target image; calculating a correlation between the first pixel and pixels of the target image, and determining a correlation range in the target image according to the correlation; editing the marked region according to the correlate range; and displaying the edited marked region. In addition, an electronic device and a recording medium using the method are also introduced.

Interactive image marking method, electronic device, and recording medium using the method

The present invention discloses a medical image project management platform comprising a project management module and a radiomic feature extracting module. The project management module comprises a multi-module management interface and a labeling unit. An image is input by the multi-module management interface and received by the labeling unit. A first labeled image and a second labeled image are produced thereafter. The radiomic feature extracting module comprises an analysis unit and a feature extracting module. The analysis unit analyzes the first labeled image and gives the first labeled image a first labeling unit. The analysis unit analyzes the second labeled image and gives the second labeled image a second labeling unit. The radiomic feature extracting unit receives the first and the second labeling units and proceeds radiomic computation to output a radiomic feature.

Medical image project management platform

Growing community of inventors

Tainan, Taiwan

Yi-Shan Tsai