[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …
cause of blindness globally. Early detection and treatment are necessary in order to delay or …
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey
Recent advancements with deep generative models have proven significant potential in the
task of image synthesis, detection, segmentation, and classification. Segmenting the medical …
task of image synthesis, detection, segmentation, and classification. Segmenting the medical …
CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images
Diabetic retinopathy (DR) is the leading cause of blindness among people of working age.
Fundus lesions are clinical signs of DR, and their recognition and delineation are important …
Fundus lesions are clinical signs of DR, and their recognition and delineation are important …
Classification and segmentation of diabetic retinopathy: a systemic review
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
A survey on diabetic retinopathy lesion detection and segmentation
Diabetes is a global problem which impacts people of all ages. Diabetic retinopathy (DR) is
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …
a main ailment of the eyes resulting from diabetes which can result in loss of eyesight if not …
Three-dimensional semantic segmentation of diabetic retinopathy lesions and grading using transfer learning
Diabetic retinopathy (DR) is a drastic disease. DR embarks on vision impairment when it is
left undetected. In this article, learning-based techniques are presented for the segmentation …
left undetected. In this article, learning-based techniques are presented for the segmentation …
LezioSeg: Multi-Scale Attention Affine-Based CNN for Segmenting Diabetic Retinopathy Lesions in Images
Diagnosing some eye pathologies, such as diabetic retinopathy (DR), depends on
accurately detecting retinal eye lesions. Automatic lesion-segmentation methods based on …
accurately detecting retinal eye lesions. Automatic lesion-segmentation methods based on …
UNIConv: An enhanced U‐Net based InceptionV3 convolutional model for DR semantic segmentation in retinal fundus images
Segmentation of diabetic retinopathy is a significant requirement for correct severity
estimation level. Due to dissimilarity in shapes, size, and quantity of retinal lesions, the …
estimation level. Due to dissimilarity in shapes, size, and quantity of retinal lesions, the …
Segmentation of hard exudate lesions in color fundus image using two-stage CNN-based methods
Q Van Do, HT Hoang, N Van Vu, DA De Jesus… - Expert Systems with …, 2024 - Elsevier
The presence of hard exudate (EX) lesions is an early clinical symptom of Diabetic
Retinopathy (DR); its accurate segmentation is essential for diagnosis and treatment …
Retinopathy (DR); its accurate segmentation is essential for diagnosis and treatment …
Image preprocessing‐based ensemble deep learning classification of diabetic retinopathy
Diabetic retinopathy (DR) can cause irreversible eye damage, even blindness. The
prognosis improves with early diagnosis. According to the International Classification of …
prognosis improves with early diagnosis. According to the International Classification of …