Xerophthalmia grading system based on regional adaptive attention network
A grading system, dry eye technology, applied in the field of medical image analysis and machine learning, can solve problems such as low accuracy and low efficiency, and achieve the effect of improving accuracy, speed, and diagnostic efficiency
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[0028] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be pointed out that the embodiments described below are intended to facilitate the understanding of the present invention and do not have any limiting effect on it.
[0029] This embodiment provides a dry eye classification system based on a regional adaptive attention network, including a computer memory, a computer processor, and a computer program stored in the computer memory and executable on the computer processor. The computer memory stores There is a trained dry eye grading model, which is obtained through the following three stages:
[0030] Phase 1: Construction of the training set
[0031] The infrared image of the eyelid plate used in this embodiment is divided into upper and lower tarsal plates, which respectively contain 4 levels of dry eye, including: no dry eye, mild, moderate and severe dry eye. There are 11,584 samples of the...
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