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[HTML][HTML] Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …
programs and algorithms to make devices intelligent and efficient for performing tasks that …
Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
[HTML][HTML] Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
cancer is detected early, mortality rates in women can be reduced. Because manual breast …
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning
Alzheimer's disease is a neurodegenerative condition that gradually impairs cognitive
abilities. Recently, various neuroimaging modalities and machine learning methods have …
abilities. Recently, various neuroimaging modalities and machine learning methods have …
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review
Alzheimer's disease (AD) is a neurodegenerative disorder that causes memory degradation
and cognitive function impairment in elderly people. The irreversible and devastating …
and cognitive function impairment in elderly people. The irreversible and devastating …
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …
developed countries, has led to population growth and increased age-related diseases …
Breast Cancer classification depends on the dynamic Dipper Throated optimization Algorithm
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …
mortality among women after lung cancer. Women's death rates can be decreased if breast …
An intelligent system for early recognition of Alzheimer's disease using neuroimaging
Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …
A new model for brain tumor detection using ensemble transfer learning and quantum variational classifier
J Amin, MA Anjum, M Sharif, S Jabeen… - Computational …, 2022 - Wiley Online Library
A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …
Explainable deep-learning-based diagnosis of Alzheimer's disease using multimodal input fusion of PET and MRI Images
Purpose Alzheimer's disease (AD) is a progressive, incurable human brain illness that
impairs reasoning and retention as well as recall. Detecting AD in its preliminary stages …
impairs reasoning and retention as well as recall. Detecting AD in its preliminary stages …