Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. DL has been widely adopted in image recognition, speech …
interest in recent years. DL has been widely adopted in image recognition, speech …
Artificial intelligence: the future for diabetes care
S Ellahham - The American journal of medicine, 2020 - Elsevier
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global
pandemic, can reform the approach to diagnosis and management of this chronic condition …
pandemic, can reform the approach to diagnosis and management of this chronic condition …
A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning
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 …
causes vision problems and blindness due to disfigurement of human retina. According to …
AI-based automatic detection and classification of diabetic retinopathy using U-Net and deep learning
A Bilal, L Zhu, A Deng, H Lu, N Wu - Symmetry, 2022 - mdpi.com
Artificial intelligence is widely applied to automate Diabetic retinopathy diagnosis. Diabetes-
related retinal vascular disease is one of the world's most common leading causes of …
related retinal vascular disease is one of the world's most common leading causes of …
Residual learning based CNN for breast cancer histopathological image classification
Biopsy is one of the most commonly used modality to identify breast cancer in women,
where tissue is removed and studied by the pathologist under the microscope to look for …
where tissue is removed and studied by the pathologist under the microscope to look for …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
DeepSeeNet: a deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
Purpose In assessing the severity of age-related macular degeneration (AMD), the Age-
Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of …
Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of …
[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 …
Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging
J Peng, S Kang, Z Ning, H Deng, J Shen, Y Xu… - European …, 2020 - Springer
Background We attempted to train and validate a model of deep learning for the
preoperative prediction of the response of patients with intermediate-stage hepatocellular …
preoperative prediction of the response of patients with intermediate-stage hepatocellular …