Review of AlexNet for Medical Image Classification
In recent years, the rapid development of deep learning has led to a wide range of
applications in the field of medical image classification. The variants of neural network …
applications in the field of medical image classification. The variants of neural network …
HDR-EfficientNet: a classification of hypertensive and diabetic retinopathy using optimize efficientnet architecture
Hypertensive retinopathy (HR) and diabetic retinopathy (DR) are retinal diseases closely
associated with high blood pressure. The severity and duration of hypertension directly …
associated with high blood pressure. The severity and duration of hypertension directly …
[HTML][HTML] Attention Mechanism-Based Glaucoma Classification Model Using Retinal Fundus Images
YS Cho, HJ Song, JH Han, YS Kim - Sensors, 2024 - mdpi.com
This paper presents a classification model for eye diseases utilizing attention mechanisms to
learn features from fundus images and structures. The study focuses on diagnosing …
learn features from fundus images and structures. The study focuses on diagnosing …
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review
Here, we examine the latest advances in glaucoma detection through Deep Learning (DL)
algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses …
algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses …
Ocular Disease Recognition Based on Deep Learning: A Comprehensive Review
This review article represents a major advance in the field of medical imaging and
ophthalmology by exploring the critical role of deep learning in the detection and diagnosis …
ophthalmology by exploring the critical role of deep learning in the detection and diagnosis …
Potential Screening, Grading and Follow-Up of Diabetic Retinopathy in Primary Care Using Artificial Intelligence–How Hard Would It Be to Implement? An …
AC Rusu, RO Chistol, SI Damian… - … . Broad Research in …, 2024 - lumenpublishing.com
Diabetic retinopathy (DR) is a microvascular disorder caused by the long-term effects of
diabetes mellitus and among the primary causes of blindness worldwide. Early detection of …
diabetes mellitus and among the primary causes of blindness worldwide. Early detection of …
Multiple Major Ocular Disease Classification Using Deep Learning Methods: A Comprehensive Review
Ocular diseases have become an important issue worldwide. Every year, various ocular
diseases affect numerous individuals, leading to blindness for many. Despite seeking …
diseases affect numerous individuals, leading to blindness for many. Despite seeking …
CLAHE-Enhanced Transfer Learning with VGG19 & DenseNet201 for Ocular Disease Classification
S Umrani, HM Pande - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
Navigating the diverse diseases in ocular health presents a constant challenge for
ophthalmologists. The complexities inherent in diagnosing these conditions demand not just …
ophthalmologists. The complexities inherent in diagnosing these conditions demand not just …
High-Accuracy Cataract Detection using Enhanced VGG-19 CNN and Adam Optimizer
N Navatha, A Revanth, C Pramod… - 2024 IEEE 6th …, 2024 - ieeexplore.ieee.org
Among the foremost predominant conditions influencing the eyes are cataracts, which can
cause severe visual impedance and, within the worst-case situation, visual impairment. In …
cause severe visual impedance and, within the worst-case situation, visual impairment. In …
[PDF][PDF] AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights
K Mridha, M Wang, L Zhang - … of the 16th International Conference on, 2024 - easychair.org
Diabetes Retinopathy, a leading cause of vision impairment, necessitates early and precise
detection. To address this, we developed a Convolutional Neural Network (CNN) model and …
detection. To address this, we developed a Convolutional Neural Network (CNN) model and …