Review of AlexNet for Medical Image Classification

W Tang, J Sun, S Wang, Y Zhang - arxiv preprint arxiv:2311.08655, 2023 - arxiv.org
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 …

HDR-EfficientNet: a classification of hypertensive and diabetic retinopathy using optimize efficientnet architecture

Q Abbas, Y Daadaa, U Rashid, MZ Sajid, MEA Ibrahim - Diagnostics, 2023 - mdpi.com
Hypertensive retinopathy (HR) and diabetic retinopathy (DR) are retinal diseases closely
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 …

Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review

M Faraji, H Rashidisabet, GR Nahass, RV Chan… - arxiv preprint arxiv …, 2024 - arxiv.org
Here, we examine the latest advances in glaucoma detection through Deep Learning (DL)
algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses …

Ocular Disease Recognition Based on Deep Learning: A Comprehensive Review

D Jameel, AM Abdulazeez - The Indonesian Journal of Computer Science, 2024 - ijcs.net
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 …

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 …

Multiple Major Ocular Disease Classification Using Deep Learning Methods: A Comprehensive Review

MS Tazoar, O Jyoti, MOF Goni… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Ocular diseases have become an important issue worldwide. Every year, various ocular
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 …

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 …

[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 …