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Smart systems that can accurately diagnose patients with mental disorders and identify effective treatments based on brain functional imaging data are of great applicability and are gaining much attention. Most previous machine learning…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 Jumana Dakka , Pouya Bashivan , Mina Gheiratmand , Irina Rish , Shantenu Jha , Russell Greiner

There is a need for automatic diagnosis of certain diseases from medical images that could help medical practitioners for further assessment towards treating the illness. Alzheimers disease is a good example of a disease that is often…

Image and Video Processing · Electrical Eng. & Systems 2019-01-30 GuruRaj Awate

Alzheimer's Disease (AD) is a severe brain disorder, destroying memories and brain functions. AD causes chronically, progressively, and irreversibly cognitive declination and brain damages. The reliable and effective evaluation of early…

Image and Video Processing · Electrical Eng. & Systems 2021-01-07 Kuo Yang , Emad A. Mohammed

Alzheimer's disease (AD) is the most common type of dementia accompanied with brain atrophy. Structural measurements of brain atrophy in specific brain structures such as hippocampus using magnetic resonance imaging (MRI) have been reported…

Medical Physics · Physics 2016-05-10 Kenya Murase , Naohiko Gondo , Tsutomu Soma

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that predominantly affects the elderly population and currently has no cure. Magnetic Resonance Imaging (MRI), as a non-invasive imaging technique, is essential for the…

Image and Video Processing · Electrical Eng. & Systems 2025-07-24 Xinyue Yang , Meiliang Liu , Yunfang Xu , Xiaoxiao Yang , Zhengye Si , Zijin Li , Zhiwen Zhao

Deep learning, a cutting-edge machine learning approach, outperforms traditional machine learning in identifying intricate structures in complex high-dimensional data, particularly in the domain of healthcare. This study focuses on…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Nida Nasir , Muneeb Ahmed , Neda Afreen , Mustafa Sameer

Schizophrenia and bipolar disorder are debilitating psychiatric illnesses that can be challenging to diagnose accurately. The similarities between the diseases make it difficult to differentiate between them using traditional diagnostic…

Schizophrenia is a serious psychiatric disorder. Its pathogenesis is not completely clear, making it difficult to treat patients precisely. Because of the complicated non-Euclidean network structure of the human brain, learning critical…

Computer Vision and Pattern Recognition · Computer Science 2024-08-28 Yuhong Jiao , Jiaqing Miao , Jinnan Gong , Hui He , Ping Liang , Cheng Luo , Ying Tan

Alzheimer's disease is a neurogenerative disease that alters memories, cognitive functions leading to death. Early diagnosis of the disease, by detection of the preliminary stage, called Mild Cognitive Impairment (MCI), remains a…

Image and Video Processing · Electrical Eng. & Systems 2020-12-03 Achraf Ben Miled , Taoufik Yeferny , Amira ben Rabeh

Alzheimers Disease AD is an acute neuro disease that degenerates the brain cells and thus leads to memory loss progressively. It is a fatal brain disease that mostly affects the elderly. It steers the decline of cognitive and biological…

Machine Learning · Computer Science 2023-04-20 Nair Bini Balakrishnan , P. S. Sreeja , Jisha Jose Panackal

Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Guian Fang , Mengsha Liu , Yi Zhong , Zhuolin Zhang , Jiehui Huang , Zhenchao Tang , Calvin Yu-Chian Chen

Schizophrenia is a complex psychiatric disorder involving changes in thought patterns, perception, mood, and behavior. The diagnosis of schizophrenia is challenging and requires that patients show two or more positive symptoms for at least…

Machine Learning · Computer Science 2021-02-17 Maritza Tynes , Mahboobeh Parsapoor

Alzheimer Disease poses a significant challenge, necessitating early detection for effective intervention. MRI is a key neuroimaging tool due to its ease of use and cost effectiveness. This study analyzes machine learning methods for MRI…

Neurons and Cognition · Quantitative Biology 2024-08-12 Alwani Liyana Ahmad , Jose Sanchez-Bornot , Roberto C. Sotero , Damien Coyle , Zamzuri Idris , Ibrahima Faye

Machine learning models have been successfully employed in the diagnosis of Schizophrenia disease. The impact of classification models and the feature selection techniques on the diagnosis of Schizophrenia have not been evaluated. Here, we…

Machine Learning · Computer Science 2022-07-05 M. Tanveer , Jatin Jangir , M. A. Ganaie , Iman Beheshti , M. Tabish , Nikunj Chhabra

Early detection is crucial to prevent the progression of Alzheimer's disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis of AD in the earliest and…

Machine Learning · Computer Science 2021-05-19 Alejandro Puente-Castro , Enrique Fernandez-Blanco , Alejandro Pazos , Cristian R. Munteanu

The present review presents multiple techniques in which ocular assessments may serve as a noninvasive approach for the early diagnoses of various cognitive and psychiatric disorders, such as Alzheimer's disease (AD), autism spectrum…

Neurons and Cognition · Quantitative Biology 2020-04-06 Xiaotao Li , Xuejing Chen , Fangfang Fan , Li Ning , Kangguang Lin , Zan Chen , Zhenyun Qin , Albert S. Yeung , Liping Wang , Xiaojian Li , Kwok-Fai So

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

Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has recently become a popular way to analyse and interpret…

Machine Learning · Computer Science 2022-04-01 Daniel Organisciak , Hubert P. H. Shum , Ephraim Nwoye , Wai Lok Woo

Alzheimer's disease (AD) is a neurodegenerative disorder marked by memory loss and cognitive decline, making early detection vital for timely intervention. However, early diagnosis is challenging due to the heterogeneous presentation of…

Neurons and Cognition · Quantitative Biology 2025-09-24 Ali Khazaee , Abdolreza Mohammadi , Ruairi O'Reilly

Schizophrenia (SCZ), as a chronic and persistent disorder, exhibits working memory deficits across various stages of the disorder, yet the neural mechanisms underlying these deficits remain elusive with inconsistent neuroimaging findings.…

Neurons and Cognition · Quantitative Biology 2023-10-16 Yuhao Yao , Shufang Zhang , Boyao Wang , Gaofeng Zhao , Hong Deng , Ying Chen