Domain adaptation for medical image analysis: a survey
Machine learning techniques used in computer-aided medical image analysis usually suffer
from the domain shift problem caused by different distributions between source/reference …
from the domain shift problem caused by different distributions between source/reference …
Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries.
From a research point of view, impressive results have been reported using computer-aided …
From a research point of view, impressive results have been reported using computer-aided …
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 …
Deep learning approach for early detection of Alzheimer's disease
Alzheimer's disease (AD) is a chronic, irreversible brain disorder, no effective cure for it till
now. However, available medicines can delay its progress. Therefore, the early detection of …
now. However, available medicines can delay its progress. Therefore, the early detection of …
Convolutional neural network based Alzheimer's disease classification from magnetic resonance brain images
Alzheimer's disease, the most common form of dementia is a neurodegenerative brain order
that has currently no cure for it. Hence, early diagnosis of such disease using computer …
that has currently no cure for it. Hence, early diagnosis of such disease using computer …
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
J Yanase, E Triantaphyllou - Expert Systems with Applications, 2019 - Elsevier
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …
expended in the interface of medicine and computer science. As some CAD systems in …
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
Neuroimaging has made it possible to measure pathological brain changes associated with
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
Alzheimer's disease (AD) in vivo. Over the past decade, these measures have been …
Predicting brain-age from multimodal imaging data captures cognitive impairment
The disparity between the chronological age of an individual and their brain-age measured
based on biological information has the potential to offer clinically relevant biomarkers of …
based on biological information has the potential to offer clinically relevant biomarkers of …
Why rankings of biomedical image analysis competitions should be interpreted with care
International challenges have become the standard for validation of biomedical image
analysis methods. Given their scientific impact, it is surprising that a critical analysis of …
analysis methods. Given their scientific impact, it is surprising that a critical analysis of …
Alzheimer's disease diagnostics by a deeply supervised adaptable 3D convolutional network
Early diagnosis, playing an important role in preventing progress and treating the
Alzheimer's disease (AD), is based on classification of features extracted from brain images …
Alzheimer's disease (AD), is based on classification of features extracted from brain images …