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 …
Diabetic retinopathy grading review: Current techniques and future directions
Diabetic retinopathy (DR) is widely recognized as a leading cause of blindness among
individuals with diabetes worldwide. Therefore, early diagnosis of DR plays a crucial role in …
individuals with diabetes worldwide. Therefore, early diagnosis of DR plays a crucial role in …
A lightweight robust deep learning model gained high accuracy in classifying a wide range of diabetic retinopathy images
Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood
vessel damage can lead to vision loss and blindness if not recognized at an early stage …
vessel damage can lead to vision loss and blindness if not recognized at an early stage …
Multi-stream deep neural network for diabetic retinopathy severity classification under a boosting framework
Diabetic Retinopathy (DR) is an eye disorder in patients with diabetes. Detection of DR
presence and its complications using fundus images at an early stage helps prevent its …
presence and its complications using fundus images at an early stage helps prevent its …
Predicting mechanical properties of carbon nanotube (cnt) images using multi-layer synthetic finite element model simulations
We present a pipeline for predicting mechanical properties of vertically-oriented carbon
nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI) …
nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI) …
Automatic classification of retinal diseases with transfer learning-based lightweight convolutional neural network
Z Lu, J Miao, J Dong, S Zhu, X Wang, J Feng - … Signal Processing and …, 2023 - Elsevier
Diabetic retinopathy (DR) and diabetic macular edema (DME) are the major causes of
permanent blindness in the working-age population. Deep learning methods have been …
permanent blindness in the working-age population. Deep learning methods have been …
Deep learning with an attention mechanism for differentiating the origin of brain metastasis using MR images
T Jiao, F Li, Y Cui, X Wang, B Li, F Shi… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Brain metastasis (BM) is a serious neurological complication of cancer of
different origins. The value of deep learning (DL) to identify multiple types of primary origins …
different origins. The value of deep learning (DL) to identify multiple types of primary origins …
A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches
High glucose levels in the blood not only damage different tissues and organs of the body,
but also cause adverse effects on the eye. This condition is called diabetic retinopathy (DR) …
but also cause adverse effects on the eye. This condition is called diabetic retinopathy (DR) …
[HTML][HTML] Intelligent integrated framework towards high-accuracy machining
The thermal error is the main factor hindering the realization of the high-accuracy machining.
The intelligent integrated framework towards the high-accuracy machining, which is …
The intelligent integrated framework towards the high-accuracy machining, which is …
Automatic detection of diabetic hypertensive retinopathy in fundus images using transfer learning
Diabetic retinopathy (DR) is a complication of diabetes that affects the eyes. It occurs when
high blood sugar levels damage the blood vessels in the retina, the light-sensitive tissue at …
high blood sugar levels damage the blood vessels in the retina, the light-sensitive tissue at …