Paper Title :Efficient Net-B5 Based Transfer Learning for Multi-Label Classification of Diabetic Retinopathy Using CLAHE Preprocessing
Author :Mehul Jain, Mustafa Noman Rashid, Priyanka Aggarwal, Kapil Sharma
Article Citation :Mehul Jain ,Mustafa Noman Rashid ,Priyanka Aggarwal ,Kapil Sharma ,
(2023 ) " Efficient Net-B5 Based Transfer Learning for Multi-Label Classification of Diabetic Retinopathy Using CLAHE Preprocessing " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 121-127,
Volume-11,Issue-2
Abstract : Diabetes mellitus, a chronic disorder that is rapidly becoming more prevalent worldwide. It is defined by
hyperglycemia, which restricts the body's utilization of glucose. Diabetic retinopathy (DR), which comes in four severity
levels—mild, moderate, severe, and proliferative—is a frequent side effect of diabetes. Deep learning is used in this study to
categorize the intensity of diabetic retinopathy using neural networks and transfer learning. The APTOS 2019 Blindness
Detection dataset is used in this work. Several pre-processing techniques are used, including resizing, grayscale conversion,
Gaussian blur, thresholding, contour detection, CLAHE, and median filtering, to improve the picture quality and make it
easier to identify and segment retinal lesions.Convolutional neural networks (CNNs) are used with the EfficientNet-B5
architecture for feature extraction and classification. Transfer learning is used for training the model, and accuracy isbeing
used as the performance parameter for evaluation. With an accuracy of 98.77%, on the APTOS-2019 dataset demonstrate the
efficacy of the recommended technique. These encouraging findings demonstrate the possibility of neural network-based
methods for categorizing an imbalanced dataset for diabetic retinopathy. The suggested framework can offer highly accurate
models that are appropriate for clinical data from real-world patients and diagnostic applications, helping to identify and treat
diabetic retinopathy.
Keywords - Diabetic Retinopathy Classification, Aptos, Clahe, Efficientnet-B5, Convolutional Neural Network, Transfer
Learning
Type : Research paper
Published : Volume-11,Issue-2
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-19970
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Copyright: © Institute of Research and Journals
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Published on 2023-10-27 |
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