A study of CNN and transfer learning in medical imaging: Advantages, challenges, future scope
This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
[HTML][HTML] Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early …
Alzheimer's Disease (AD) is a brain disorder that causes the brain to shrink and eventually
causes brain cells to die. This neurological condition progressively hampers cognitive and …
causes brain cells to die. This neurological condition progressively hampers cognitive and …
[HTML][HTML] Computational approaches to explainable artificial intelligence: advances in theory, applications and trends
Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …
An interpretable skin cancer classification using optimized convolutional neural network for a smart healthcare system
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …
Automatic face mask detection system in public transportation in smart cities using IoT and deep learning
The World Health Organization (WHO) has stated that the spread of the coronavirus (COVID-
19) is on a global scale and that wearing a face mask at work is the only effective way to …
19) is on a global scale and that wearing a face mask at work is the only effective way to …
Automated detection of Alzheimer's via hybrid classical quantum neural networks
Deep Neural Networks have offered numerous innovative solutions to brain-related
diseases including Alzheimer's. However, there are still a few standpoints in terms of …
diseases including Alzheimer's. However, there are still a few standpoints in terms of …
A deep learning approach based on explainable artificial intelligence for skin lesion classification
N Nigar, M Umar, MK Shahzad, S Islam, D Abalo - IEEE Access, 2022 - ieeexplore.ieee.org
The skin lesion types result in delayed diagnosis due to high similarity in early stages of the
skin cancer. In this regard, deep learning algorithms are well-recognized solutions; however …
skin cancer. In this regard, deep learning algorithms are well-recognized solutions; however …
[Retracted] An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network
Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …
Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
There are several factors for vehicle accidents during driving such as drivers' negligence,
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
[HTML][HTML] Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques
SE Sorour, AA Abd El-Mageed, KM Albarrak… - Journal of King Saud …, 2024 - Elsevier
Alzheimer's Disease (AD) is a worldwide concern impacting millions of people, with no
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …