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Optic cup and optic disk segmentation method based on fundus image data set transfer learning

A technology of transfer learning and graph data, applied in image data processing, ophthalmoscopy, image analysis, etc., can solve the problem of inability to accurately segment the optic cup and optic disc.

Active Publication Date: 2021-03-23
NANKAI UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the existing automatic glaucoma screening algorithm cannot accurately segment the optic cup and optic disc during the migration process of the fundus map data set

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  • Optic cup and optic disk segmentation method based on fundus image data set transfer learning
  • Optic cup and optic disk segmentation method based on fundus image data set transfer learning
  • Optic cup and optic disk segmentation method based on fundus image data set transfer learning

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Embodiment Construction

[0076] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings.

[0077] see figure 1 As shown, it is a flow chart of the cup-optic-disc segmentation method based on the transfer learning of the fundus image dataset. The specific implementation process of this embodiment is divided into 3 steps, and the specific steps are as follows.

[0078] Step 1. Fundus image data collection and data preprocessing

[0079] Collect public fundus map datasets as research datasets. Common ones are DRISHTI-GS, RIM-ONE v3 and REFUGE datasets.

[0080] DRISHTI-GS Fundus Map Dataset. The dataset was collected and labeled by Arvind Eye Hospital in India. It contains 101 color fundus images centered on the optic disc, with a viewing angle of 30° and a resolution of approximately 2047x1760. Among them, 50 fundus maps ...

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Abstract

The invention belongs to the technical field of artificial intelligence, and particularly relates to a medical fundus image data set, in particular to a optic cup and optic disk segmentation method for fundus image data set transfer learning. According to the method, through adversarial training of a backbone segmentation network and two domain discriminators, universal features between fundus image data sets are extracted, and the features are weighted by using an attention module, so that the problem of fuzzy optic disc boundary of the optic cup is solved, and the interference of other fundus lesions on a segmentation task is eliminated. On the premise that target data set labeling information is not used, the algorithm keeps high optic cup and optic disc segmentation precision in the fundus image data set migration process, and the limitation of insufficient labeled fundus data on the performance of a traditional automatic glaucoma screening method is effectively eliminated.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a medical fundus map data set, in particular to an optic cup and optic disc segmentation method for transfer learning of the fundus map data set. Background technique [0002] Glaucoma is the leading cause of blindness worldwide. The disease causes a defect in the fibers of the optic nerve, which can lead to irreversible visual damage. Therefore, early diagnosis and treatment are extremely critical for glaucoma patients. [0003] In clinical practice, the Cup-to-Disc Ratio (CDR), that is, the ratio of the vertical diameter (vertical diameter) of the optic cup (OC) to the optic disc (OD), is an important criterion for glaucoma screening. Important indicators. Glaucoma often results in a markedly increased cup-to-disk ratio due to damage to the optic nerve fibers. By analyzing the eye fundus image, doctors can accurately track the morphological chang...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/12A61B3/00A61B3/12A61B3/14
CPCG06T7/11G06T7/12A61B3/0025A61B3/12A61B3/14G06T2207/20081G06T2207/20084G06T2207/20132G06T2207/30041
Inventor 袁晓洁张宇豪欧阳嘉伟蔡祥睿康宏张莹
Owner NANKAI UNIV
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