Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer's Disease: A Comprehensive Review

G Hcini, I Jdey, H Dhahri - Neural Processing Letters, 2024 - Springer
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions of people
worldwide, making early detection essential for effective intervention. This review paper …

Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction.

A El-Ibrahimi, O Terrada, O El Gannour… - … Journal of Online & …, 2023 - search.ebscohost.com
Abstract According to the World Health Organization (WHO), cardiovascular disease is one
of the leading causes of death worldwide. Thus, the prevention of this kind of illness is …

Hybrid generative model for grading the severity of diabetic retinopathy images

R Bhuvaneswari, M Diviya… - Computer Methods in …, 2024 - Taylor & Francis
One of the common eye conditions affecting patients with diabetes is diabetic retinopathy
(DR). It is characterised by the progressive impairment to the blood vessels with the increase …

Digital Pathology in Healthcare: Current Trends and Future Perspective.

NG Goswami, N Sampathila, GM Bairy… - … Journal of Online & …, 2024 - search.ebscohost.com
Diagnosing a disease requires observing the affected tissues and drawing conclusions
based on specific known features. Conventionally, a pathologist would diagnose the sample …

Multiple Disease Detection using Machine Learning Techniques.

D Acharya, K Eashwer, S Kumar… - … Journal of Online & …, 2023 - search.ebscohost.com
The COVID-19 disease outbreak resulted in a worldwide pandemic. Currently, the reverse
transcription-polymerase chain reaction (RT-PCR), which relies on nasopharyngeal swabs …

Segmentation of Retinal Images Using Improved Segmentation Network, MesU-Net.

AT Nair, A ML, AK MN - International Journal of Online & …, 2023 - search.ebscohost.com
Given the immense importance of medical image segmentation and the challenges
associated with manual execution, a diverse range of automated medical image …

Haemorrhage diagnosis in colour fundus images using a fast-convolutional neural network based on a modified U-Net

R Sathiyaseelan, K Ranganathan… - … in Neural Systems, 2024 - Taylor & Francis
Retinal haemorrhage stands as an early indicator of diabetic retinopathy, necessitating
accurate detection for timely diagnosis. Addressing this need, this study proposes an …

[PDF][PDF] Brain Tumor Localization Using N-Cut.

T Sahoo, KK Das - International Journal of Online & Biomedical …, 2023 - academia.edu
ABSTRACT A brain tumor is an abnormal collection of tissue in the brain. When tumors form,
they are classified as either malignant or benign. It is critical to notice and identify the …

Deep learning-based CNN for multiclassification of ocular diseases using transfer learning

GD Deepak, SK Bhat - Computer Methods in Biomechanics and …, 2024 - Taylor & Francis
Effective and timely diagnosis and treatment of ocular diseases is essential for swift recovery
of the patients. Among ocular diseases, cataract and glaucoma are the most prevalent …

Automated Detection of Dental Caries from Oral Images using Deep Convolutional Neural Networks.

I Lasri, N El-Marzouki, A Riadsolh… - … Journal of Online & …, 2023 - search.ebscohost.com
The urgent demand for accurate and efficient diagnostic methods to combat oral diseases,
particularly dental caries, has led to the exploration of advanced techniques. Dental caries …