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Recognition and detection method, device and equipment for macular area of ​​fundus image

A fundus image and region detection technology, applied in the field of medical image processing, can solve the problems of inaccurate positioning, failure, affecting the results of the detection and classification of the macular region, etc., and achieve the effect of improving the recognition ability and accurate positioning.

Active Publication Date: 2021-08-13
BEIJING ZHENHEALTH TECH CO LTD
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Problems solved by technology

However, due to the rich and varied image content of the macular area in abnormal fundus images, the localization of the macular area often occurs inaccurate or ineffective only through the deep learning model trained on limited fundus images, which in turn affects the The results of detection and classification of the macular area later lead to a low accuracy rate of the positioning detection results of the macular area of ​​the fundus image

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  • Recognition and detection method, device and equipment for macular area of ​​fundus image
  • Recognition and detection method, device and equipment for macular area of ​​fundus image
  • Recognition and detection method, device and equipment for macular area of ​​fundus image

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[0051] Various exemplary embodiments, features, and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0052] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0053] In addition, in order to better illustrate the present application, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present application may be practiced without certain of the specific details. In some instances, methods, means, co...

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Abstract

The present application relates to a method, device and equipment for identifying and detecting the macular area of ​​a fundus image. The method includes: reading the current fundus image to be detected; using a target detection model to detect the macular area in the fundus image; For the macular area in the image, the optic disc area in the fundus image is detected, and the macular area is identified and positioned based on the detected optic disc area; based on the positioning result of the macular area, the macula corresponding to the macular area is extracted from the fundus image Image; multimodal processing is performed on the macular image, and the images obtained by the multimodal processing are fused to obtain a fused image, and whether the macular area is qualified or not is detected according to the fused image. It realizes the identification and positioning of the macular area by comprehensively considering the positional relationship between the macular area and the optic disk area. Compared with the macular area positioning method based on deep learning, which only relies on the labeling of the macular area, the identification of the macular area in fundus images is more accurate.

Description

technical field [0001] The present application relates to the technical field of medical image processing, and in particular to a method, device and equipment for identifying and detecting macular regions in fundus images. Background technique [0002] Color fundus photography is one of the important means of assisting fundus image detection and screening. As the most important part of the biological structure of the fundus, the macula directly affects people's vision. There are few researches on the detection and classification of macular abnormalities. Usually, the detection and classification of macular areas mainly includes two technical modules, namely, the fundus macular area identification and positioning module and the macular area abnormality detection module. Among them, the macular area recognition and positioning algorithm based on deep learning is relatively mature. It only needs to mark and learn the position of the macula in the fundus image to achieve the ef...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/90G06T5/50G06T5/40G06K9/20G06N3/04G06N3/08
CPCG06T7/0012G06T5/50G06T5/40G06T7/90G06N3/08G06T2207/30041G06V10/22G06N3/045G06V40/193G06V2201/03G06V10/82G06T2207/20084G06T2207/20081
Inventor 张冬冬
Owner BEIJING ZHENHEALTH TECH CO LTD
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