Diabetic Retinopathy Classification Using CNN

Prof. Takbhate T.K; ONKAR VIJAYKUMAR JOSHI; NIRANJAN SADANAND PEGADA; RAHUL VENUGOPAL ANKARAM; ADITYA SIDDHPRASAD ANKARAM; RITESH NAGESH SUTRAVE

Diabetic Retinopathy Classification Using CNN

May 2024

Vol-10, Issue-3

Paper ID: 23953

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Diabetic Retinopathy (DR) Convolutional Neural Networks (CNNs) Fundus Images Feature Extraction Classification Deep Learning Image Preprocessing Data Augmentation Training Dataset Validation Dataset Accuracy Data Collection Python

Abstract

This study presents a novel approach for the classification of Diabetic Retinopathy (DR) utilizing Convolutional Neural Networks ( CNN ). Leveraging deep learning techniques, the proposed CNN model demonstrates high accuracy in distinguishing various stages of DR from retinal fundus images. Through the integration of convolutional layers, pooling , and fully connected layers, the model effectively learns intricate features indicative of diabetic retinopathy. The system’s performance is evaluated using a comprehensive dataset, showcasing its potential as an efficient and automated tool for early DR detection and classification. The results highlight the significance of employing CNNs in medical image analysis, particularly for enhancing diagnostic processes in diabetic retinopathy.

License

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Author Information

#	Name	Institute / Affiliation
1	Prof. Takbhate T.K	MIT College Of Railway Engineering And Research, Barshi
2	ONKAR VIJAYKUMAR JOSHI	MIT College Of Railway Engineering And Research, Barshi
3	NIRANJAN SADANAND PEGADA	MIT College Of Railway Engineering And Research, Barshi
4	RAHUL VENUGOPAL ANKARAM	MIT College Of Railway Engineering And Research, Barshi
5	ADITYA SIDDHPRASAD ANKARAM	MIT College Of Railway Engineering And Research, Barshi
6	RITESH NAGESH SUTRAVE	MIT College Of Railway Engineering And Research, Barshi

How to Cite

Use the following formats to cite this article in your research.

APA Style

T.K, Prof. Takbhate, JOSHI, ONKAR VIJAYKUMAR, PEGADA, NIRANJAN SADANAND, ANKARAM, RAHUL VENUGOPAL, ANKARAM, ADITYA SIDDHPRASAD, & SUTRAVE, RITESH NAGESH (2024). Diabetic Retinopathy Classification Using CNN. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 2348-2356.

MLA Style

T.K, Prof. Takbhate, et al. "Diabetic Retinopathy Classification Using CNN." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 2348-2356.

IEEE Style

Prof. Takbhate T.K, ONKAR VIJAYKUMAR JOSHI, NIRANJAN SADANAND PEGADA, RAHUL VENUGOPAL ANKARAM, ADITYA SIDDHPRASAD ANKARAM, and RITESH NAGESH SUTRAVE, "Diabetic Retinopathy Classification Using CNN," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 2348-2356, 2024.

Vancouver Style

T.K Prof. Takbhate, JOSHI ONKAR VIJAYKUMAR, PEGADA NIRANJAN SADANAND, ANKARAM RAHUL VENUGOPAL, ANKARAM ADITYA SIDDHPRASAD, SUTRAVE RITESH NAGESH. Diabetic Retinopathy Classification Using CNN. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):2348-2356.

Harvard Style

T.K, Prof. Takbhate, JOSHI, ONKAR VIJAYKUMAR, PEGADA, NIRANJAN SADANAND, ANKARAM, RAHUL VENUGOPAL, ANKARAM, ADITYA SIDDHPRASAD, & SUTRAVE, RITESH NAGESH (2024) 'Diabetic Retinopathy Classification Using CNN', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 2348-2356.

Chicago Style

T.K, Prof. Takbhate, et al. "Diabetic Retinopathy Classification Using CNN." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2348-2356.

Turabian Style

T.K, Prof. Takbhate, et al. "Diabetic Retinopathy Classification Using CNN." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2348-2356.