A review of medical image data augmentation techniques for deep learning applications
Research in artificial intelligence for radiology and radiotherapy has recently become
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Alzheimer disease detection empowered with transfer learning
Alzheimer's disease is a severe neuron disease that damages brain cells which leads to
permanent loss of memory also called dementia. Many people die due to this disease every …
permanent loss of memory also called dementia. Many people die due to this disease every …
DEMNET: A deep learning model for early diagnosis of Alzheimer diseases and dementia from MR images
S Murugan, C Venkatesan, MG Sumithra, XZ Gao… - Ieee …, 2021 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is the most common cause of dementia globally. It steadily
worsens from mild to severe, impairing one's ability to complete any work without assistance …
worsens from mild to severe, impairing one's ability to complete any work without assistance …
A scoping review of transfer learning research on medical image analysis using ImageNet
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …
trained on non-medical ImageNet dataset, has shown promising results for medical image …
Deep learning for Alzheimer's disease diagnosis: A survey
M Khojaste-Sarakhsi, SS Haghighi… - Artificial intelligence in …, 2022 - Elsevier
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …
progressive decline in cognitive abilities. Since AD starts several years before the onset of …
Region-of-interest based transfer learning assisted framework for skin cancer detection
Melanoma is considered the most serious type of skin cancer. All over the world, the
mortality rate is much high for melanoma in contrast with other cancer. There are various …
mortality rate is much high for melanoma in contrast with other cancer. There are various …
A deep Siamese convolution neural network for multi-class classification of Alzheimer disease
Alzheimer's disease (AD) may cause damage to the memory cells permanently, which
results in the form of dementia. The diagnosis of Alzheimer's disease at an early stage is a …
results in the form of dementia. The diagnosis of Alzheimer's disease at an early stage is a …
An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection
Traditional ML based IDS cannot handle high-speed and ever-evolving attacks.
Furthermore, these traditional IDS face several common challenges, such as processing …
Furthermore, these traditional IDS face several common challenges, such as processing …
Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach
The most commonly injured ligament in the human body is an anterior cruciate ligament
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …