Calcification point identification method and device and computer readable storage medium

A recognition method and calcification point technology, applied in the field of image recognition, can solve the problems of large labor, labor and time consumption, false positives, etc.

Active Publication Date: 2019-04-02
广州达美智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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 sca

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  • Calcification point identification method and device and computer readable storage medium
  • Calcification point identification method and device and computer readable storage medium
  • Calcification point identification method and device and computer readable storage medium

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Example Embodiment

[0051] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] like figure 1 as shown, figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0053] The terminal in this embodiment of the present invention may be a PC, or a terminal device with a data processing function such as a smart phone, a tablet computer, or a portable computer.

[0054] like figure 1As shown, the terminal may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user...

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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...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/12G06T7/73G06N3/04G06N3/08
CPCG06N3/08G06T7/0012G06T7/12G06T7/73G06T2207/10081G06T2207/30096G06N3/045
Inventor 李俊宁侯丹王爽翁钊吴闪
Owner 广州达美智能科技有限公司
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