Automated detection and diagnosis of diabetic retinopathy: A comprehensive survey
V Lakshminarayanan, H Kheradfallah, A Sarkar… - Journal of …, 2021 - mdpi.com
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
years, artificial intelligence (AI) based approaches have been used to detect and grade DR …
[HTML][HTML] A building energy consumption prediction model based on rough set theory and deep learning algorithms
L Lei, W Chen, B Wu, C Chen, W Liu - Energy and Buildings, 2021 - Elsevier
The efficient and accurate prediction of building energy consumption can improve the
management of power systems. In this paper, the rough set theory was used to reduce the …
management of power systems. In this paper, the rough set theory was used to reduce the …
Deep learning based an automated skin lesion segmentation and intelligent classification model
Abstract Internet of Medical Things (IoMT) includes interconnected sensors, wearable
devices, medical devices, and clinical systems. At the same time, skin cancer is a commonly …
devices, medical devices, and clinical systems. At the same time, skin cancer is a commonly …
Severity classification of diabetic retinopathy using an ensemble learning algorithm through analyzing retinal images
Diabetic Retinopathy (DR) refers to the damages endured by the retina as an effect of
diabetes. DR has become a severe health concern worldwide, as the number of diabetes …
diabetes. DR has become a severe health concern worldwide, as the number of diabetes …
Diagnosis of diabetic retinopathy through retinal fundus images and 3D convolutional neural networks with limited number of samples
Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads
to minor and major blindness and is more prevalent among adults. Automated screening …
to minor and major blindness and is more prevalent among adults. Automated screening …
Hemorrhage detection based on 3D CNN deep learning framework and feature fusion for evaluating retinal abnormality in diabetic patients
Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early and
accurate diagnosis can improve the analysis and prognosis of the disease. One of the …
accurate diagnosis can improve the analysis and prognosis of the disease. One of the …
Machine learning-based diabetic retinopathy early detection and classification systems-a survey
DA Hasan, SRM Zeebaree… - 2021 1st Babylon …, 2021 - ieeexplore.ieee.org
Diabetes Mellitus is a chronic disease that spreads quickly worldwide. It results from
increasing the blood glucose level and causes complications in the heart, kidney, and eyes …
increasing the blood glucose level and causes complications in the heart, kidney, and eyes …
ResNet based deep features and random forest classifier for diabetic retinopathy detection
Diabetic retinopathy, an eye disease commonly afflicting diabetic patients, can result in loss
of vision if prompt detection and treatment are not done in the early stages. Once the …
of vision if prompt detection and treatment are not done in the early stages. Once the …
A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema
MR Mathews, SM Anzar - International Journal of Imaging …, 2021 - Wiley Online Library
Diabetes mellitus is a major medical concern worldwide. Long‐term diabetes can affect the
retina of the eye and lead to diabetic retinopathy (DR) and diabetic macular edema (DME) …
retina of the eye and lead to diabetic retinopathy (DR) and diabetic macular edema (DME) …
Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …