2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 2019 · 13 citations · 11 references
ComputingComputer ScienceOphthalmologyComputer VisionDiagnostic ImagingMachine LearningComputer-aided DiagnosisConjunctival DiseaseConjunctival DisordersConjunctival PathologyDeep LearningMedical Image AnalysisDeep Learning DetectionDeep Learning DiagnosticsDeep Learning-based DetectionDeep Learning-based DiagnosisOphthalmic Diagnostics
Artificial Intelligence[AI] using deep learning (DL) plays the significant trend in the image processing. Also AI using natural language processing and speech recognition is a recent trend in the health care industry. There are various ongoing researches for incorporating deep learning in ophthalmic field which is more trending now. DL can be used for extracting the fundus photographs, optical coherence tomography which is accomplishing the performance in identifying the conjunctivitis. How ever there is lot of technical challenges in the identifying the right algorithm and implementing in both clinical and technical areas. This proposed work is focused on diagnosing and identifying the conjunctivitis using deep learning technique.
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Glaucoma detection based on deep convolutional neural network
Xiangyu Chen, Yanwu Xu, Damon Wing Kee Wong et al. · 2015 · 413 citations