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Improving patient outcomes depends on the prompt and accurate diagnosis of brain tumors, but manual MRI scan analysis is still time-consuming and unreliable. Although deep learning has shown promise, many of the models that are now in use…

Image and Video Processing · Electrical Eng. & Systems 2026-05-14 Md Fahimul Kabir Chowdhury , Jannatul Ferdous

Current models on Explainable Artificial Intelligence (XAI) have shown an evident and quantified lack of reliability for measuring feature-relevance when statistically entangled features are proposed for training deep classifiers. There has…

Signal Processing · Electrical Eng. & Systems 2023-02-27 Juan Manuel Mayor-Torres , Sara Medina-DeVilliers , Tessa Clarkson , Matthew D. Lerner , Giuseppe Riccardi

Early diagnosis of Alzheimer's disease and its prodromal stage, also known as mild cognitive impairment (MCI), is critical since some patients with progressive MCI will develop the disease. We propose a multi-stream deep convolutional…

Image and Video Processing · Electrical Eng. & Systems 2023-08-01 Mona Ashtari-Majlan , Abbas Seifi , Mohammad Mahdi Dehshibi

Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD) and Frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. EEG, a non-invasive tool for recording…

Signal Processing · Electrical Eng. & Systems 2024-08-21 Shivani Ranjan , Ayush Tripathi , Harshal Shende , Robin Badal , Amit Kumar , Pramod Yadav , Deepak Joshi , Lalan Kumar

Early diagnosis of Alzheimer Diagnostics (AD) is a challenging task due to its subtle and complex clinical symptoms. Deep learning-assisted medical diagnosis using image recognition techniques has become an important research topic in this…

Image and Video Processing · Electrical Eng. & Systems 2024-01-26 Yihao Lin , Ximeng Li , Yan Zhang , Jinshan Tang

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. The features have to accurately capture main AD-related…

Machine Learning · Computer Science 2016-07-05 Ehsan Hosseini-Asl , Georgy Gimel'farb , Ayman El-Baz

Prediction of the cognitive evolution of a person susceptible to develop a neurodegenerative disorder is crucial to provide an appropriate treatment as soon as possible. In this paper we propose a 3D siamese network designed to extract…

Image and Video Processing · Electrical Eng. & Systems 2019-09-04 Cecilia Ostertag , Marie Beurton-Aimar , Thierry Urruty

Deep learning has emerged as a promising approach for learning the nonlinear mapping between diffusion-weighted MR images and tissue parameters, which enables automatic and deep understanding of the brain microstructures. However, the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Wenxin Fan , Jian Cheng , Qiyuan Tian , Ruoyou Wu , Juan Zou , Zan Chen , Shanshan Wang

Early and accurate diagnosis of Alzheimer Disease is critical for effective clinical intervention, particularly in distinguishing it from Mild Cognitive Impairment, a prodromal stage marked by subtle structural changes. In this study, we…

Image and Video Processing · Electrical Eng. & Systems 2025-10-08 Fahad Mostafa , Kannon Hossain , Hafiz Khan

Computer-aided early diagnosis of Alzheimer's disease (AD) and its prodromal form mild cognitive impairment (MCI) based on structure Magnetic Resonance Imaging (sMRI) has provided a cost-effective and objective way for early prevention and…

Image and Video Processing · Electrical Eng. & Systems 2021-11-16 Xin Zhang , Liangxiu Han , Wenyong Zhu , Liang Sun , Daoqiang Zhang

Motion artifacts caused by prolonged acquisition time are a significant challenge in Magnetic Resonance Imaging (MRI), hindering accurate tissue segmentation. These artifacts appear as blurred images that mimic tissue-like appearances,…

Image and Video Processing · Electrical Eng. & Systems 2024-12-06 Sunyoung Jung , Yoonseok Choi , Mohammed A. Al-masni , Minyoung Jung , Dong-Hyun Kim

A definitive diagnosis of a brain tumour is essential for enhancing treatment success and patient survival. However, it is difficult to manually evaluate multiple magnetic resonance imaging (MRI) images generated in a clinic. Therefore,…

Neural and Evolutionary Computing · Computer Science 2022-04-27 Amin Abdollahi Dehkordi , Mina Hashemi , Mehdi Neshat , Seyedali Mirjalili , Ali Safaa Sadiq

Alzheimer's Disease is a neurodegenerative condition characterized by dementia and impairment in neurological function. The study primarily focuses on the individuals above age 40, affecting their memory, behavior, and cognitive processes…

Computer Vision and Pattern Recognition · Computer Science 2025-01-20 Mohammad Rafsan , Tamer Oraby , Upal Roy , Sanjeev Kumar , Hansapani Rodrigo

Automated brain lesions detection is an important and very challenging clinical diagnostic task because the lesions have different sizes, shapes, contrasts, and locations. Deep Learning recently has shown promising progress in many…

Computer Vision and Pattern Recognition · Computer Science 2018-01-08 Mina Rezaei , Haojin Yang , Christoph Meinel

Alzheimer's Disease (AD) is the most common type of dementia. In all leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is diagnosed by calculating the MSME score and by the manual study of MRI…

Machine Learning · Computer Science 2019-12-11 Rishu Garg , Rekh Ram Janghel , Yogesh Rathore

Dementia, a prevalent neurodegenerative condition, is a major manifestation of Alzheimer's disease (AD). As the condition progresses from mild to severe, it significantly impairs the individual's ability to perform daily tasks…

Machine Learning · Computer Science 2023-11-06 Md Gulzar Hussain , Ye Shiren

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

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

In the last decade, computer-aided early diagnostics of Alzheimer's Disease (AD) and its prodromal form, Mild Cognitive Impairment (MCI), has been the subject of extensive research. Some recent studies have shown promising results in the AD…

Computer Vision and Pattern Recognition · Computer Science 2018-09-12 Alexander Khvostikov , Karim Aderghal , Andrey Krylov , Gwenaelle Catheline , Jenny Benois-Pineau

The early detection of Alzheimer's Disease is imperative to ensure early treatment and improve patient outcomes. There has consequently been extenstive research into detecting AD and its intermediate phase, mild cognitive impairment (MCI).…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Jamie Vo , Naeha Sharif , Ghulam Mubashar Hassan