Scanning image detection method, electronic equipment and computer readable medium

Abstract

The invention discloses a scanning image detection method, electronic equipment and a computer readable medium. The method comprises the following steps: acquiring a plurality of layers of scanning images of a scanning object; inputting the plurality of layers of scanning images into a quality control network model to obtain image quality detection results of the plurality of layers of scanning images; in response to the fact that the image quality detection result of at least one part of layer scanning images in the multiple layers is abnormal, image abnormal areas are determined from the at least one part of layer scanning images with the abnormity, and the image abnormal areas are marked in the scanning images, so that the image quality problem existing in the at least one part of layer scanning images is prompted. According to the invention, image quality detection results are respectively detected from a plurality of layers of scanning images based on the neural network model, scanning images with quality problems are conveniently and rapidly screened from tens of layers of scanning images or even hundreds of layers of scanning images, and abnormal areas are prompted, so that intelligent evaluation of the quality of the scanning images is realized, and the efficiency and accuracy of the whole process of examination and diagnosis are improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a scanning image detection method, electronic equipment and a computer-readable medium. Background technique [0002] With the development of modern medicine, chest CT (computed tomography) examination, as a commonly used method for detecting diseases, can provide rich information for clinical diagnosis. [0003] However, due to various reasons such as insufficient technical level of the technician himself, fatigued working state, language barrier, etc., the quality of the chest CT images taken may be poor. For example, breathing motion artifacts caused by patients not holding their breath, metal artifacts caused by patients not taking off metal accessories, incomplete scanning range caused by technician positioning problems, machine artifacts caused by insufficient scanning dose, etc. Shadow and so on. [0004] Poor quality chest CT images are difficult to meet the needs...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a scanning image detection method, electronic equipment and computer in order to overcome the defects in the prior art that cannot effectively perform quality inspection for each layer of scanned images, resulting in reduced inspection efficiency and accuracy readable media

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