AI-based thyroid nodule left and right leaf positioning and ultrasonic report error correction method

Abstract

The invention relates to an AI-based thyroid nodule left and right leaf positioning and ultrasonic report error correction method, and the method comprises the following steps: building a deep convolution neural network, extracting the features of a thyroid standard short-axis section ultrasonic image through the deep convolution neural network, and carrying out the classification; and based on aninput box event monitoring mechanism, comparing the classification result with keywords in the ultrasonic report, and if the classification result is inconsistent with the keywords in the ultrasonicreport, giving a prompt. According to the invention, the phenomenon that left and right focuses are reversed due to manual errors is effectively avoided, so that the consistency and accuracy of text reports and pictures are ensured, and adverse medical accidents are reduced.

Description

technical field [0001] The invention relates to the technical field of image analysis, in particular to an AI-based method for locating left and right thyroid nodules and correcting errors in ultrasound reports. Background technique [0002] Ultrasound is widely used in the inspection of various tissues and organs of the human body due to its non-invasive, convenient, economical, and radiation-free advantages. At present, domestic clinical work is heavy, and a large number of repetitive inspection tasks make the inspection efficiency low. Ultrasound diagnosticians are prone to fatigue. For symmetrical organs The diagnosis of thyroid nodules is highly dependent on ultrasound, which at least requires the ultrasonic diagnostic documents to be specific about the location of nodules. Only the accuracy of the information can ensure the correct follow-up treatment. Once the information on the left and right sides of the nodule is wrong, it will often cause serious medical accidents...

AI Technical Summary

Problems solved by technology

[0002] Ultrasound is widely used in the inspection of various tissues and organs of the human body due to its non-invasive, convenient, economical, and radiation-free advantages. At present, domestic clinical work is heavy, and a large number of repetitive inspection tasks make the inspection efficiency low. Ultrasound diagnosticians are prone to fatigue. For symmetrical organs The diagnosis of thyroid nodules is highly dependent on ultrasound, which at least requires the ultrasonic diagnostic documents to be specific about the location of nodules. The accuracy of the information can ensure the follow-up correct treatment. Once the position information of the left and right sides of the nodule is wrong, it will often cause serious medical accidents caused by the wrong thyroid cutting on the healthy side and the remaining thyroid on the affected side.

Images