Calcification point identification method and device and computer readable storage medium

Abstract

The invention discloses a calcification point identification method. The method comprises the steps of obtaining a to-be-identified image; processing each pixel point of the image according to a preset first algorithm to obtain a suspected calcification candidate block of the image; and performing calcification point recognition on the suspected calcification candidate block of the image accordingto a preset second algorithm, calculating a calcification probability value of the suspected calcification candidate block, and determining whether the suspected calcification candidate block is calcified or not according to the calcification probability value. The invention also discloses a calcification point identification device and a computer readable storage medium. According to the method,a large amount of manpower can be reduced and a certain recognition rate can be ensured in the calcification point recognition process.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a method, device and computer-readable storage medium for recognizing calcification points. Background technique [0002] CT is considered to be the best method for detecting cancerous calcifications—the "gold standard". As a non-invasive medical imaging method that can provide three-dimensional information, it is widely used in the detection and evaluation of diseases. [0003] Currently, there are two types of CT scans: one uses low-resolution non-enhanced CT to scan patients; the other uses high-resolution CTA (Computed Tomography Angioplasty) scans. Due to the low resolution of the first type of non-enhanced CT scan, the identification of calcification points requires the manual participation of radiologists, which consumes a lot of manpower and time; while the second type of high-resolution CTA scan can be identified by machine, but the identification The rate is low, and t...

AI Technical Summary

Problems solved by technology

Due to the low resolution of the first type of non-enhanced CT scan, the identification of calcification points requires the manual participation of radiologists, which consumes a lot of manpower and time; while the second type of high-resolution CTA scan can be identified by machine, but the identification The rate is low, and there is a problem of a large number of false positives

Therefore, the current identification methods have the disadvantages of large amount of human labor and low detection rate.

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