Optical coherence tomography image retinopathy intelligent detection system and detection method

A technology of optical coherence tomography and retinopathy, applied in the field of image processing, can solve problems such as uneven distribution, unfavorable promotion, and dependence on doctors' personal clinical experience, so as to save time, improve diagnostic efficiency and accuracy, and improve practical value Effect

Active Publication Date: 2021-12-10
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0004] At present, the retinal images obtained by OCT in the examination of retinal diseases are mainly judged by ophthalmologists relying on naked eye observation. The workload is very heavy, and it is extremely dependent on the doctor's personal clinical experience. This identification method is not conducive to large-scale promotion
In addition, patients with preventable and curable blindness and low vision are more distributed in economically underdeveloped countries and regions. The reason is the lack of medical resources and uneven distribution.

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  • Optical coherence tomography image retinopathy intelligent detection system and detection method
  • Optical coherence tomography image retinopathy intelligent detection system and detection method
  • Optical coherence tomography image retinopathy intelligent detection system and detection method

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the present invention is not limited to the following specific embodiments.

[0026] like figure 1 As shown, the optical coherence tomography intelligent detection system for retinopathy includes an image acquisition module 1, an image preprocessing module 2, a retinopathy analysis module 3 and a case report output module 4; the output terminal of the image acquisition module 1 is connected to the image preprocessing module 2, the output end of the image preprocessing module 2 is connected to the input end of the retinopathy analysis module 3, and the output end of the retinopathy analysis module 3 is connected to the input end of the case report output module 4.

[0027]The image acquisition module 1 is used to acquire the retinal OCT images of the examiner, and to label the images, each image corresponds to a serial number; the image prepro...

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Abstract

The invention discloses an optical coherence tomography image retinopathy intelligent detection system and a detection method. Currently obtained retinal images are mainly judged by ophthalmologists relying on naked eye observation, which is not conducive to large-scale promotion. The present invention takes the idea of ​​deep learning as the technical core, combines the migration learning strategy, uses the convolutional neural network algorithm in the deep learning model to construct a classifier, realizes the classification of retinal lesions, and uses the image segmentation algorithm to realize the extraction of lesions and retinal layering , so as to obtain the specific information of the lesion position in the picture and the quantitative information of the morphological parameters, and generate relevant diagnostic reports for further diagnosis by doctors. The present invention can make up for the blank of the current optical coherence tomography system in the field of intelligent identification and precise positioning of lesions, effectively reduce the work intensity of doctors, and further promote the clinical application and technical development of the optical coherence tomography system in the diagnosis of ophthalmic diseases.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an optical coherence tomography image retinopathy intelligent detection system and detection method. Background technique [0002] Eye diseases seriously affect the quality of life of patients. The latest figures from the World Health Organization (October 2013) show that the number of visually impaired people worldwide is approximately 285 million, and the World Health Organization predicts that by 2020, if no action is taken, the number of blind people and patients with other vision problems worldwide will The total will also be doubled. At the end of the last century, the "Vision 2020" global blindness prevention strategy goal proposed that about 50% of blindness can be cured (such as cataract, trachoma, etc.), and about 30% of blindness can be prevented (such as glaucoma, diabetic retinopathy). Therefore, early detection and treatment of ophthalmic dise...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H15/00G16H30/20G16H50/20G06T7/11G06T5/00G06N3/04G06K9/62A61B3/10
CPCG16H50/20G16H15/00G16H30/20G06T7/11G06T5/002A61B3/102G06T2207/10101G06T2207/30041G06N3/045G06F18/214
Inventor 范姗慧刘士臣沈艳艳陈冬梅魏凯华
Owner HANGZHOU DIANZI UNIV
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