Intelligent screening system suitable for high myopia complicated by open angle glaucoma and establishment method thereof
A technology for open-angle glaucoma and high myopia, applied in the field of medical artificial intelligence, can solve the problems of unseen accurate and efficient high myopia and open-angle glaucoma intelligent screening system, etc. The effect of serving a wide range of objects
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Embodiment 1
[0044] Example 1 The present invention is applicable to the establishment process of an intelligent screening system for high myopia complicated by open-angle glaucoma
[0045] The present invention is applicable to the establishment process of the intelligent screening system for high myopia complicated by open-angle glaucoma as follows: figure 1 As shown, the details are as follows:
[0046] 1. Construct the deep learning model of the intelligent screening system, which consists of two networks of evaluation and screening. The evaluation network includes a glaucoma OCT deep learning model, a visual field deep learning model, and a fundus photo deep learning model, which can quantitatively evaluate the optic disc shape (disc rim area, cup volume, cup-to-disk ratio, horizontal cup-to-disk ratio, and vertical cup-to-disk ratio) based on glaucoma OCT. And the thickness of retinal nerve fiber layer in each quadrant, the thickness of ganglion cell complex in the macular area, vis...
Embodiment 2
[0049] Embodiment 2 The intelligent screening system of the present invention suitable for high myopia complicated by open-angle glaucoma
[0050] See Figure 4 , Figure 4 It is a structural block diagram of an intelligent screening system suitable for high myopia complicated by open-angle glaucoma according to the present invention. The intelligent screening system suitable for high myopia complicated with open-angle glaucoma includes a storage device 1 , an evaluation module 2 , a screening module 3 and a test evaluation adjustment module 4 .
[0051] Storage device 1: used to store training set information, including basic patient information, spherical power, intraocular pressure, corneal thickness, A-ultrasound (eye axial length), glaucoma OCT, visual field, and fundus photos.
[0052] Evaluation module 2: Including glaucoma OCT deep learning model, visual field deep learning model, and fundus photo deep learning model, used to quantitatively evaluate optic disc morpho...
Embodiment 3
[0058] Patient Zhang, male, 45 years old, with high myopia in both eyes, went to a local community hospital for glaucoma screening. The doctor checked binocular optometry, corneal thickness, A-ultrasound, intraocular pressure, glaucoma OCT, visual field, and fundus photos. The corneal thickness of the right eye is 535.12μm, the axial length of the eye is 27.42mm, the intraocular pressure is 17.3mmHg, and the spherical power is -9.00DS. The corneal thickness of the left eye is 536.62μm, the axial length of the eye is 27.72mm, the intraocular pressure is 16.0mmHg, and the spherical power is -9.50DS. The doctor enters the patient information and clinical data into the intelligent screening system of the present invention suitable for high myopia complicated by open-angle glaucoma. The system evaluation result is: right eye: retinal nerve fiber layer thickness (upper quadrant 108.72, lower quadrant 100.82, nasal side 85.25 , temporal side 92.36), optic disc shape was normal, macu...
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