Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review

Chaki, Jyotismita; Woźniak, Marcin

doi:10.1016/j.bspc.2022.104223

Cited by 42 publications

(33 citation statements)

References 155 publications

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“…The article by Chaki and Woźniak (2023) presented a systematic review of the research conducted from 2016 to 2022 on the application of deep learning for neurodegenerative disorders. The authors conducted a thorough analysis of the literature and identified relevant studies that utilized deep learning techniques for the early detection, diagnosis, and prediction of neurodegenerative disorders.…”

Section: Review Of Related Workmentioning

confidence: 99%

“…Recently, the growth of deep learning (DL) in the field of machine learning has greatly enhanced the performance of medical imaging. Several studies have shown the efficacy of classification-based DL, also known as image-based ML, which uses images as its primary input ( Bote-Curiel et al, 2021 , Chaki and Woźniak, 2023 , Chiu et al, 2022 , Dhini et al, 2022 , Saba et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

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ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for classification of skin cancer

Liu

Rejeesh²,

Sundararaj³

et al. 2023

Expert Systems with Applications

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Section: Review Of Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for classification of skin cancer

Liu

Rejeesh²,

Sundararaj³

et al. 2023

Expert Systems with Applications

View full text Add to dashboard Cite

“…Neurodegenerative disorders (ND) including Alzheimer's (AD), Parkinson's (PD), and Huntington's (HD) diseases are caused by the loss of neurons and (or) their myelin sheath. 1 AD is one of the most common forms of dementia, and its pathogenesis has not yet been clarified. The amyloid β (Aβ) cascade, cholinergic injury, Tau abnormal phosphorylation, neuroinflammation, and excitatory nerve injury are currently accepted hypotheses of AD pathogenesis.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Neurodegenerative disorders (ND) including Alzheimer’s (AD), Parkinson’s (PD), and Huntington’s (HD) diseases are caused by the loss of neurons and (or) their myelin sheath . AD is one of the most common forms of dementia, and its pathogenesis has not yet been clarified.…”

Section: Introductionmentioning

confidence: 99%

Novel Flavonol Alkaloids in Green Tea: Synthesis, Detection, and Anti-Alzheimer’s Disease Effect in a Transgenic Caenorhabditis elegans CL4176 Model

Chen,

Yang,

et al. 2024

J. Agric. Food Chem.

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Novel N-ethy-2-pyrrolidinone-substituted flavonols, myricetin alkaloids A−C (1−3), quercetin alkaloids A−C (4a, 4b, and 5), and kaempferol alkaloids A and B (6 and 7), were prepared from thermal reaction products of myricetin, quercetin, kaempferol�L-theanine, respectively. We used HPLC-ESI-HRMS/MS to detect 1−7 in 14 cultivars of green tea and found that they were all present in "Shuchazao," "Longjing 43", "Fudingdabai", and "Zhongcha 108" green teas. The structures of 1−4 and 6 were determined by extensive 1D and 2D NMR spectroscopies. These flavonol alkaloids along with their skeletal flavonols were assessed for anti-Alzheimer's disease effect based on molecular docking, acetylcholinesterase inhibition, and the transgenic Caenorhabditis elegans CL4176 model. Compound 7 strongly binds to the protein amyloid β (Aβ 1−42 ) through hydrogen bonds (BE: −9.5 kcal/mol, K i : 114.3 nM). Compound 3 (100 μM) is the strongest one in significantly extending the mean lifespan (13.4 ± 0.5 d, 43.0% promotion), delaying the Aβ 1−42 -induced paralysis (PT 50 : 40.7 ± 1.9 h, 17.1% promotion), enhancing the locomotion (140.0% promotion at 48 h), and alleviating glutamic acid (Glu)-induced neurotoxicity (153.5% promotion at 48 h) of CL4176 worms (p < 0.0001).

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“…However, manual interpretation of medical images is time-intensive and subject to human biases. These diagnostic challenges can be addressed with artificial intelligence, [11][12][13][14] which can facilitate efficient and accurate screening of medical images for detecting COVID-19 and related conditions. 15 Therefore, this study proposes a machine learning approach for the automated classification of COVID-19, COPD, HF, and other conditions from CT and CXR images.…”

mentioning

confidence: 99%

Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical images

Erdem,

Kobat,

Bilen

et al. 2023

Int J Imaging Syst Tech

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COVID-19, chronic obstructive pulmonary disease (COPD), heart failure (HF), and pneumonia can lead to acute respiratory deterioration. Prompt and accurate diagnosis is crucial for effective clinical management. Chest X-ray (CXR) and chest computed tomography (CT) are commonly used for confirming the diagnosis, but they can be time-consuming and biased. To address this, we developed a computationally efficient deep feature engineering model called Hybrid-Patch-Alex for automated COVID-19, COPD, and HF diagnosis. We utilized one CXR dataset and two CT image datasets, including a newly collected dataset with four classes: COVID-19, COPD, HF, and normal. Our model employed a hybrid patch division method, transfer learning with pre-trained AlexNet, iterative neighborhood component analysis for feature selection, and three standard classifiers (k-nearest neighbor, support vector machine, and artificial neural network) for automated classification. The model achieved high accuracy rates of 99.82%, 92.90%, and 97.02% on the respective datasets, using kNN and SVM classifiers.

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Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review

Cited by 42 publications

References 155 publications

ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for classification of skin cancer

ACO-KELM: Anti Coronavirus Optimized Kernel-based Softplus Extreme Learning Machine for classification of skin cancer

Novel Flavonol Alkaloids in Green Tea: Synthesis, Detection, and Anti-Alzheimer’s Disease Effect in a Transgenic Caenorhabditis elegans CL4176 Model

Hybrid‐Patch‐Alex: A new patch division and deep feature extraction‐based image classification model to detect COVID‐19, heart failure, and other lung conditions using medical images

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