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A Web-Based Platform for Segmentation of Abdominal Organs on CT Images

Abstract : With the development trend of “Internet Plus”, medical staffs hope to change the traditional way of medical diagnosis through the Internet, and medical image processing requires a lot of data, but it is very difficult for hospitals to achieve image data sharing. Therefore, this paper designs a Web-based platform for segmentation of abdominal organs on CT images. Using the software of Xojo and Oray as the development and design of this platform, this paper studies the technology of conversion medical DICOM format image to BMP format, as well as image smoothing, edge detection, image expansion, image corrosion and liver region segmentation. The results of this paper show that the platform realized the image transformation, displaying of medical DICOM format image based on web and the segmentation of CT image of abdominal organs, which is suitable for multiple operating systems, and is convenient for hospital clinical departments to view medical images at any time, and improve the diagnostic speed and accuracy. In addition, a large number of medical image data can be collected through the platform.
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Xiaoxia Ning, Xuejun Zhang, Qianmei yang. A Web-Based Platform for Segmentation of Abdominal Organs on CT Images. 10th International Conference on Intelligent Information Processing (IIP), Oct 2018, Nanning, China. pp.412-420, ⟨10.1007/978-3-030-00828-4_42⟩. ⟨hal-02197778⟩



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