Hepatic space-occupying lesion identification method and device and implement device

Abstract

The invention provides a liver space-occupying lesion identification method and device and an implementation device, which relate to the technical field of medical images. The method comprises the steps of acquiring a first CT image; recognizing the first CT image of each phase by a first recognition model, and recognizing the suspected focus position of the first CT image of each phase; carryingout the lateral and longitudinal combination of suspect lesion positions to obtain a detection frame position, and cutting that first CT image of each phase longitudinally according to the detection frame position to obtain a second CT image; identifying the lesion type of the suspected lesion position in the second CT image through the second recognition model, and judging the target lesion position from the suspected lesion position; segmenting the first CT image by the third recognition model, and obtaining the third CT image; and according to the detection frame on the third CT image, obtaining the position coordinates of the target focus. The lateral features between the four-phase images and the longitudinal features of the single-phase images are comprehensively considered, which greatly improves the accuracy of the recognition results.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a method, device and implementation device for identifying liver space-occupying lesions. Background technique [0002] Space-occupying lesion is a special term in medical imaging diagnostics. It usually appears in X-ray, B-ultrasound, CT and other examination results. , arterial phase, portal venous phase and delayed phase four-phase images. [0003] At present, liver space-occupying lesions are mainly identified manually from CT images, and automatic computer identification is mostly based on single-phase images of CT images, which cannot consider the horizontal characteristics between the four-phase images and the longitudinal characteristics of a single-phase image. The accuracy of the recognition result is not high. Contents of the invention [0004] In view of this, the purpose of the present invention is to provide a liver space-occupying lesion identification ...

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Problems solved by technology

[0003] At present, liver space-occupying lesions are mainly identified manually from CT images, and automatic computer identification is mostly based on single-phase images of CT images, which cannot consider the horizontal characteristics between the four-phase images and the longitudinal characteristics of a single-phase image. The accuracy of the recognition result is not high

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