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What is A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based On Deep Learning about?

This study explores the use of deep learning, specifically Convolutional Neural Networks (CNNs), to predict the effectiveness of anti-VEGF injections for patients with choroidal neovascularization (CNV) and cystoid macular edema (CME) using Optical Coherence Tomography (OCT) images. The research demonstrates that a modified ResNet-50 model can achieve an area under the curve (AUC) of over 0.8, indicating its potential utility in clinical decision-making regarding treatment plans. Data augmentation and trans

Author

aaryamanoj2004

Language

EN