Image segmentation method and device, electronic equipment and computer readable storage medium

Abstract

The invention relates to the field of artificial intelligence, and provides an image segmentation method, which comprises the steps of converting abdominal CT image data in a DICOM format into an abdominal image in a JPG format; inputting the abdomen image in the JPG format into a generative network model constructed based on a Vnet network model; generating a 6-channel prediction segmentation label through the generation network model; and obtaining a prediction segmentation result image according to the 6-channel prediction segmentation label, the prediction segmentation result image comprising a subcutaneous fat image, a muscle image, a bone image, a visceral fat image, a visceral organ image and a background image. In addition, the invention further relates to a blockchain technology,and the abdomen CT image data in the DICOM format and the abdomen image in the JPG format are stored in a blockchain. Therefore, the segmentation effect of the abdominal muscle image and the fat imagecan be improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to an image segmentation method, device, electronic equipment and computer-readable storage medium. Background technique [0002] The analysis of human body composition such as fat and skeletal muscle is an important means of medical research. The content of fat and skeletal muscle in the human body is an important basis for evaluating the nutritional status of an individual, and plays an important role in clinical links such as diagnosis, treatment and prognosis of patients. Guiding significance. At present, quantitative analysis of fat and skeletal muscle based on imaging techniques such as computed tomography (CT) is a widely recognized evaluation method. In particular, the skeletal muscle area, visceral fat area, subcutaneous fat area, and total abdominal fat volume of the umbilical plane CT images have important clinical values. [0003] At present, the common method fo...

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Problems solved by technology

[0005] In view of this, the present invention proposes an image segmentation method, device, electronic equipment, and computer-readable storage medium to solve the problems of time-consuming segmentation of abdominal muscle images and fat images and low segmentation accuracy in the prior art

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