[Retracted] Enhance‐Net: An Approach to Boost the Performance of Deep Learning Model Based on Real‐Time Medical Images
Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …
technology in medical applications assures that the healthcare sectors improve the quality of …
Computer-aided diagnostic system for hypertensive retinopathy: A review
Hypertensive Retinopathy (HR) is a retinal disease caused by elevated blood pressure for a
prolonged period. There are no obvious signs in the early stages of high blood pressure, but …
prolonged period. There are no obvious signs in the early stages of high blood pressure, but …
A review of methods for automatic detection of macular edema
Abstract Diabetic Macular Edema (DME) is a sight-threating complication of diabetic
retinopathy (DR) and the major cause of vision impairment in people with diabetes. Damage …
retinopathy (DR) and the major cause of vision impairment in people with diabetes. Damage …
ResNet-34/DR: a residual convolutional neural network for the diagnosis of diabetic retinopathy
NM Almoosawi, RS Khudeyer - Informatica, 2021 - informatica.si
Diabetic retinopathy (DR) is an eye complication associated with diabetes, resulting in
blurred vision or blindness. The early diagnosis and treatment of DR can decrease the risk …
blurred vision or blindness. The early diagnosis and treatment of DR can decrease the risk …
A machine learning based data modeling for medical diagnosis
NA Mahoto, A Shaikh, A Sulaiman… - … Signal Processing and …, 2023 - Elsevier
High-dimensional medical data makes prediction a complex and difficult task. This study
aims at modeling predictive models for medical data. Two datasets of medical data are …
aims at modeling predictive models for medical data. Two datasets of medical data are …
Multi categorical of common eye disease detect using convolutional neural network: a transfer learning approach
Among the most important systems in the body is the eyes. Although their small stature,
humans are unable to imagine existence without it. The human optic is safe against dust …
humans are unable to imagine existence without it. The human optic is safe against dust …
Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches
Automatic detection of retinal diseases is found to be more challenging and gaining
considerable attention in the recent years. The visual impairments are emerging in different …
considerable attention in the recent years. The visual impairments are emerging in different …
A fast and accurate method for glaucoma screening from smartphone-captured fundus images
The glaucoma is an eye disease that causes blindness when it progresses in an advanced
stage. Early glaucoma diagnosis is essential to prevent the vision loss. However, early …
stage. Early glaucoma diagnosis is essential to prevent the vision loss. However, early …
Automated detection of Hypertensive Retinopathy using few-shot learning
Hypertensive Retinopathy (HR) is a retinal manifestation caused due to persistently raised
blood pressure. Computer-aided diagnosis (CAD) plays an important role in the early …
blood pressure. Computer-aided diagnosis (CAD) plays an important role in the early …
BoostNet: a method to enhance the performance of deep learning model on musculoskeletal radiographs X-ray images
In clinical treatment, deep learning plays a pivotal role in medical image classification. Deep
learning techniques provide opportunities for radiologists and orthopedic to ease out their …
learning techniques provide opportunities for radiologists and orthopedic to ease out their …