[HTML][HTML] A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning

D Das, SK Biswas, S Bandyopadhyay - Multimedia Tools and Applications, 2022 - Springer
Diabetic Retinopathy (DR) is a health condition caused due to Diabetes Mellitus (DM). It
causes vision problems and blindness due to disfigurement of human retina. According to …

[HTML][HTML] A survey on deep-learning-based diabetic retinopathy classification

A Sebastian, O Elharrouss, S Al-Maadeed… - Diagnostics, 2023 - mdpi.com
The number of people who suffer from diabetes in the world has been considerably
increasing recently. It affects people of all ages. People who have had diabetes for a long …

[HTML][HTML] A survey on the interpretability of deep learning in medical diagnosis

Q Teng, Z Liu, Y Song, K Han, Y Lu - Multimedia Systems, 2022 - Springer
Deep learning has demonstrated remarkable performance in the medical domain, with
accuracy that rivals or even exceeds that of human experts. However, it has a significant …

Simple methods for the lesion detection and severity grading of diabetic retinopathy by image processing and transfer learning

A Sugeno, Y Ishikawa, T Ohshima… - Computers in Biology and …, 2021 - Elsevier
Diabetic retinopathy (DR) has become one of the major causes of blindness. Due to the
increased prevalence of diabetes worldwide, diabetic patients exhibit high probabilities of …

Diabetic retinopathy grading by a source-free transfer learning approach

C Zhang, T Lei, P Chen - Biomedical Signal Processing and Control, 2022 - Elsevier
Diabetic retinopathy (DR) gives rise to blindness in young adults around the world. By early
detection, patients with DR can be properly treated in time, and the deterioration of DR can …

[HTML][HTML] Linknet-b7: Noise removal and lesion segmentation in images of skin cancer

C Akyel, N Arıcı - Mathematics, 2022 - mdpi.com
Skin cancer is common nowadays. Early diagnosis of skin cancer is essential to increase
patients' survival rate. In addition to traditional methods, computer-aided diagnosis is used in …

[HTML][HTML] Detection of diabetic retinopathy using convolutional neural networks for feature extraction and classification (DRFEC)

D Das, SK Biswas, S Bandyopadhyay - Multimedia Tools and Applications, 2023 - Springer
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes
development of various retinal abrasions in the human retina. These lesions cause …

[HTML][HTML] Explainable COVID-19 detection on chest X-rays using an end-to-end deep convolutional neural network architecture

M Chetoui, MA Akhloufi, B Yousefi… - Big Data and Cognitive …, 2021 - mdpi.com
The coronavirus pandemic is spreading around the world. Medical imaging modalities such
as radiography play an important role in the fight against COVID-19. Deep learning (DL) …

[HTML][HTML] Diabetic retinopathy diagnosis based on RA-EfficientNet

SL Yi, XL Yang, TW Wang, FR She, X Xiong, JF He - Applied Sciences, 2021 - mdpi.com
The early detection and grade diagnosis of diabetic retinopathy (DR) are very important for
the avoidance of blindness, and using deep learning methods to automatically diagnose DR …

[HTML][HTML] An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges

AA Mukhlif, B Al-Khateeb… - Journal of Intelligent …, 2022 - degruyter.com
Deep learning techniques, which use a massive technology known as convolutional neural
networks, have shown excellent results in a variety of areas, including image processing …