Deep learning-based classification of infectious keratitis on slit-lamp images
Published in Therapeutic Advances in Chronic Disease, 2022
Recommended citation: Zhang Z, Wang H, Wang S, et al. Deep learning-based classification of infectious keratitis on slit-lamp images[J]. Therapeutic Advances in Chronic Disease, 2022, 13: 20406223221136071. https://journals.sagepub.com/doi/pdf/10.1177/20406223221136071
Infectious keratitis (IK) is an ocular emergency caused by a variety of microorganisms, including bacteria, fungi, viruses, and parasites. Culture-based methods were the gold standard for diagnosing IK, but difficult biopsy, delaying report, and low positive rate limited their clinical application. This study aims to construct a deep-learning-based auxiliary diagnostic model for early IK diagnosis. KeratitisNet demonstrates a good performance on clinical IK diagnosis and classification. Deep learning could provide an auxiliary diagnostic method to help clinicians suspect IK using different corneal manifestations.
Recommended citation: Zhang Z, Wang H, Wang S, et al. Deep learning-based classification of infectious keratitis on slit-lamp images[J]. Therapeutic Advances in Chronic Disease, 2022, 13: 20406223221136071.