Method for dynamically identifying benign and malignant nodules based on thyroid ultrasonic video streams

Abstract

The invention discloses a method for dynamically identifying benign and malignant nodules based on thyroid ultrasonic video streams. The method comprises the steps of obtaining a transverse scanning section video and a longitudinal scanning section video, the transverse scanning section video and the longitudinal scanning section video are sent to an ultrasonic doctor for labeling; preprocessing the transverse scanning section video and the longitudinal scanning section video labeled by the sonographer; respectively obtaining a preprocessed transverse scanning section video and a preprocessedlongitudinal scanning section video; and respectively inputting the transverse scanning section video and the longitudinal scanning section video into the two Retina positioning networks to respectively obtain nodule related information of each frame of image in the transverse scanning section video and the longitudinal scanning section video, and performing denoising processing on the transversescanning section video and the longitudinal scanning section video. The method can overcome the technical problems that an existing thyroid nodule benign and malignant identification method has greatmisjudgment possibility, misdiagnosis and missed diagnosis are easy to occur, and correct treatment of a patient is delayed.

Description

technical field [0001] The invention belongs to the technical field of medical information, and more specifically relates to a method for dynamically identifying benign and malignant nodules based on thyroid ultrasound video streams. Background technique [0002] In recent years, the incidence of thyroid diseases has shown a rapid upward trend, and thyroid cancer in my country continues to grow at a rate of 20% per year. In order to prevent the occurrence of thyroid nodules, the most commonly used examination method is imaging examination, which can help clinicians determine the benign and malignant thyroid nodules. [0003] However, there are some deficiencies in the above imaging-based examination methods: first, the examination results vary from region to region, from different hospital examination instruments, and from different examination image quality, and the diagnosis mainly relies on the experience and knowledge of sonographers. Second, as the number of patients i...

AI Technical Summary

Problems solved by technology

[0009] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for dynamically identifying benign and malignant nodules based on thyroid ultrasound video streams. Multi-frame information is used to locate and identify nodules, without omitting any factors that may affect the final result, thereby overcoming the problem of only a single image extracted from the thyroid nodule image sequence in the existing artificial intelligence-based identification method for benign and malignant thyroid nodules Analysis results in a great possibility of misjudgment, which is prone to misdiagnosis and missed diagnosis, and delays the correct treatment of patients. The feature of the present invention is that it uses video streams as input, combines the front and back multi-frame information to locate nodules, and Real-time and dynamic identification of benign and malignant thyroid nodules by using multiple sections as the basis for judgment

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