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Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which destroys brain cells and causes loss to patient's memory. An early detection can prevent the patient from further damage of the brain cells and hence…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Ali Nawaz , Syed Muhammad Anwar , Rehan Liaqat , Javid Iqbal , Ulas Bagci , Muhammad Majid

Amyotrophic Lateral Sclerosis (ALS) and Myopathy present considerable challenges in the realm of neuromuscular disorder diagnostics. In this study, we employ advanced deep-learning techniques to address the detection of ALS and Myopathy,…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Md. Toufiqur Rahman , Minhajur Rahman , Celia Shahnaz

Age-related Macular Degeneration (AMD) is a leading cause of blindness. Although the Age-Related Eye Disease Study group previously developed a 9-step AMD severity scale for manual classification of AMD severity from color fundus images,…

Machine Learning · Computer Science 2018-12-04 Qingyu Chen , Yifan Peng , Tiarnan Keenan , Shazia Dharssi , Elvira Agron , Wai T. Wong , Emily Y. Chew , Zhiyong Lu

The diagnosis, prognosis, and treatment of patients with musculoskeletal (MSK) disorders require radiology imaging (using computed tomography, magnetic resonance imaging(MRI), and ultrasound) and their precise analysis by expert…

Image and Video Processing · Electrical Eng. & Systems 2020-03-03 Ismail Irmakci , Syed Muhammad Anwar , Drew A. Torigian , Ulas Bagci

Alzheimer's Disease (AD) is a progressive neurodegenerative disease. Amnestic mild cognitive impairment (MCI) is a common first symptom before the conversion to clinical impairment where the individual becomes unable to perform activities…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 Donghuan Lu , Karteek Popuri , Weiguang Ding , Rakesh Balachandar , Mirza Faisal Beg

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. In order to diagnose MS, multiple screening methods have been…

All people with diabetes have the risk of developing diabetic retinopathy (DR), a vision-threatening complication. Early detection and timely treatment can reduce the occurrence of blindness due to DR. Computer-aided diagnosis has the…

Computer Vision and Pattern Recognition · Computer Science 2017-04-06 Ragav Venkatesan , Parag S. Chandakkar , Baoxin Li

Alzheimer's disease (AD) is an irreversible devastative neurodegenerative disorder associated with progressive impairment of memory and cognitive functions. Its early diagnosis is crucial for the development of possible future treatment…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Ahsan Bin Tufail , Qiu-Na Zhang , Yong-Kui Ma

Neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), cause progressive muscular degeneration and loss of motor function for 1 in 6,000 children. Traditional upper limb motor function…

Parkinson's Disease (PD) is a chronic, degenerative disorder which leads to a range of motor and cognitive symptoms. PD diagnosis is a challenging task since its symptoms are very similar to other diseases such as normal ageing and…

Machine Learning · Computer Science 2021-01-15 Mohamad Alissa

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent…

Image and Video Processing · Electrical Eng. & Systems 2025-02-11 Nasser A Alsadhan

Due to the rapid innovation of technology and the desire to find and employ biomarkers for neurodegenerative disease, high-dimensional data classification problems are routinely encountered in neuroimaging studies. To avoid over-fitting and…

Machine Learning · Statistics 2018-06-19 Shan Shi , Farouk Nathoo

Increasing effort in brain image analysis has been dedicated to early diagnosis of Alzheimer's disease (AD) based on neuroimaging data. Most existing studies have been focusing on binary classification problems, e.g., distinguishing AD…

Computer Vision and Pattern Recognition · Computer Science 2017-09-14 Hongming Li , Mohamad Habes , Yong Fan

Current neuroimaging techniques provide paths to investigate the structure and function of the brain in vivo and have made great advances in understanding Alzheimer's disease (AD). However, the group-level analyses prevalently used for…

Quantitative Methods · Quantitative Biology 2021-05-31 Nanyan Zhu , Chen Liu , Xinyang Feng , Dipika Sikka , Sabrina Gjerswold-Selleck , Scott A. Small , Jia Guo

Alzheimer's disease is a progressive neurodegenerative disorder that primarily affects cognitive functions such as memory, thinking, and behavior. In this disease, there is a critical phase, mild cognitive impairment, that is really…

Signal Processing · Electrical Eng. & Systems 2024-04-02 Arezoo Borji , Taha-Hossein Hejazi , Abbas Seifi

The development of machine learning systems for the diagnosis of rare diseases is challenging mainly due the lack of data to study them. Despite this challenge, this paper proposes a system for the Computer Aided Diagnosis (CAD) of…

Computer Vision and Pattern Recognition · Computer Science 2019-02-01 Adrián Bazaga , Mònica Roldán , Carmen Badosa , Cecilia Jiménez-Mallebrera , Josep M. Porta

Magnetic Resonance Imaging (MRI) is a non-invasive tool for the clinical assessment of low-prevalence neuromuscular disorders. Automated diagnosis methods might reduce the need for biopsies and provide valuable information on disease…

Image and Video Processing · Electrical Eng. & Systems 2022-12-15 Rafael Rodrigues , Susana Quijano-Roy , Robert-Yves Carlier , Antonio M. G. Pinheiro

Motor dysfunction is a common sign of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but may be difficult to detect, especially in the early stages. In this work, we examine the behavior of a…

Neurons and Cognition · Quantitative Biology 2025-10-23 Thomas Thebaud , Anna Favaro , Casey Chen , Gabrielle Chavez , Laureano Moro-Velazquez , Ankur Butala , Najim Dehak

INTRODUCTION: Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear. METHODS: We systematically reviewed the literature, 2006 to late 2016, for machine learning…

Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder which is not curable, but earlier detection of Alzheimer's…

Computer Vision and Pattern Recognition · Computer Science 2017-12-21 Jyoti Islam , Yanqing Zhang
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