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Method and device for determining macular fovea centralis position

A technology of macular center and position information, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problem of low accuracy of macular fovea positioning, and achieve the effect of improving positioning accuracy

Pending Publication Date: 2020-12-29
北京康夫子健康技术有限公司
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AI Technical Summary

Problems solved by technology

The above three methods are less accurate in positioning the macular fovea

Method used

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  • Method and device for determining macular fovea centralis position
  • Method and device for determining macular fovea centralis position
  • Method and device for determining macular fovea centralis position

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Embodiment Construction

[0026] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0027] figure 1 An exemplary system architecture 100 of an embodiment of a method for determining the position of the fovea or an apparatus for determining the position of the fovea of ​​the application embodiments of the present disclosure can be applied.

[0028] like figure 1 As shown, the system architecture 100 may include terminal devices 101 , 102 , 103 , a ...

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Abstract

The invention discloses a method and a device for determining a macular fovea centralis position, and relates to the technical field of artificial intelligence such as smart medical treatment and computer vision. According to the specific implementation scheme, the method comprises the steps of determining a feature region from a to-be-processed fundus image, wherein the feature region comprises an optic disc region and a blood vessel region in the fundus image; adopting a pre-trained position prediction model to estimate the relative displacement of each feature point in the feature region relative to the macular fovea central fovea prediction position; based on the position information of each feature point and the relative displacement of the feature point, determining a mapping point corresponding to the feature point in the fundus image to obtain a mapping point set; and determining the position of the macular fovea based on the position information of each mapping point in the mapping point set. The positioning accuracy of macular fovea centralis is improved, and the influence of lesion shielding on the positioning accuracy can be avoided.

Description

technical field [0001] The application discloses a method and device for determining the position of the fovea of ​​the macula, which relate to the technical field of artificial intelligence, and specifically to the fields of smart medical treatment and computer vision. Background technique [0002] Artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), both at the hardware level and at the software level. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, and machine learning / depth Learning, big data processing technology, knowl...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/64G06K9/46G06K9/62G06N20/00
CPCG06T7/0012G06T7/11G06T7/64G06N20/00G06T2207/20084G06T2207/20104G06T2207/30041G06T2207/30101G06V10/44G06F18/213
Inventor 王兆玮王磊杨叶辉
Owner 北京康夫子健康技术有限公司
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