Deep Convolutional Neural Networks for Diabetic Retinopathy Screening

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KARSAZ ALI; Mohammadian Saboora

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCED SIGNAL PROCESSING Year:2021 | Volume:4 | Issue:2 (6) Page(s): 225-237

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Information Journal Paper

Title

Deep Convolutional Neural Networks for Diabetic Retinopathy Screening

Author(s)

KARSAZ ALI | Mohammadian Saboora | Issue Writer Certificate

Keywords

Diabetic retinopathy;Convolutional neural network (CNN)

GoogleNet

Kaggle retinopathy database

Abstract

Diabetic Retinopathy (DR) is one of the major complications of Diabetes, which is the injury to the retina of the diabetic patient and causes blindness if not diagnosed in early stages. Various machine learning classification and clustering approaches have been studied in literature with the purpose of improving the accuracy of the screening methods. Some of machine learning classification and clustering approaches are based on manually feature extraction of fundus images by image processing experts. In recent years, a new approach for image classification and diagnosis without using any manual feature extraction is proposed based on convolutional neural network (CNN). In medical imaging and diagnosis, training a deep CNN from scratch is difficult because it requires a large amount of labeled training data and the training procedure is a time consuming task to ensure proper convergence. Therefore, a very common method to train CNNs for medical diagnosis is fine-tuning a pre-trained CNN. In this paper, the pre-trained GoogleNet as a powerful CNN is employed on the Kaggle database for DR diagnosis from retinal images. To assess the efficacy of the clinical results, the proposed CNN algorithm is performed to diagnose DR from the images that are gathered from the the Navid-Didegan ophthalmology clinic.

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APA: Copy

KARSAZ, ALI, & Mohammadian, Saboora. (2021). Deep Convolutional Neural Networks for Diabetic Retinopathy Screening. JOURNAL OF ADVANCED SIGNAL PROCESSING, 4(2 (6) ), 225-237. SID. https://sid.ir/paper/954978/en

Vancouver: Copy

KARSAZ ALI, Mohammadian Saboora. Deep Convolutional Neural Networks for Diabetic Retinopathy Screening. JOURNAL OF ADVANCED SIGNAL PROCESSING[Internet]. 2021;4(2 (6) ):225-237. Available from: https://sid.ir/paper/954978/en

IEEE: Copy

ALI KARSAZ, and Saboora Mohammadian, “Deep Convolutional Neural Networks for Diabetic Retinopathy Screening,” JOURNAL OF ADVANCED SIGNAL PROCESSING, vol. 4, no. 2 (6) , pp. 225–237, 2021, [Online]. Available: https://sid.ir/paper/954978/en

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