{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:06:24Z","timestamp":1764785184271},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T00:00:00Z","timestamp":1694476800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-16486-4","type":"journal-article","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T03:02:12Z","timestamp":1694487732000},"page":"29261-29288","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A novel adaptive dual swarm intelligence based image quality enhancement approach with the modified SegNet -RBM-based Alzheimer Segmentation and classification"],"prefix":"10.1007","volume":"83","author":[{"given":"Raju","family":"Anitha","sequence":"first","affiliation":[]},{"given":"Durga Bhavani","family":"Dasari","sequence":"additional","affiliation":[]},{"given":"P. Sandalya Sai","family":"Vivek","sequence":"additional","affiliation":[]},{"given":"Naga Madhavi Latha","family":"Kakarla","sequence":"additional","affiliation":[]},{"given":"M. Sirish","family":"Kumar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,12]]},"reference":[{"key":"16486_CR1","doi-asserted-by":"publisher","first-page":"73373","DOI":"10.1109\/ACCESS.2019.2920011","volume":"7","author":"S Ahmed","year":"2019","unstructured":"Ahmed S et al (2019) Ensembles of patch-based classifiers for diagnosis of Alzheimer Diseases. IEEE Access 7:73373\u201373383","journal-title":"IEEE Access"},{"issue":"8","key":"16486_CR2","doi-asserted-by":"publisher","first-page":"3918","DOI":"10.1109\/JBHI.2022.3155705","volume":"26","author":"M Ashtari-Majlan","year":"2022","unstructured":"Ashtari-Majlan M, Seifi A, Dehshibi MM (2022) A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer\u2019s Disease using structural MRI images. IEEE J Biomed Health Inform 26(8):3918\u20133926","journal-title":"IEEE J Biomed Health Inform"},{"key":"16486_CR3","doi-asserted-by":"publisher","first-page":"29870","DOI":"10.1109\/ACCESS.2021.3059658","volume":"9","author":"A Basher","year":"2021","unstructured":"Basher A, Kim BC, Lee KH, Jung HY (2021) Volumetric feature-based Alzheimer\u2019s Disease diagnosis from sMRI data using a convolutional neural network and a deep neural network. IEEE Access 9:29870\u201329882","journal-title":"IEEE Access"},{"issue":"6","key":"16486_CR4","doi-asserted-by":"publisher","first-page":"1845","DOI":"10.1109\/TMI.2019.2958943","volume":"39","author":"L Brand","year":"2020","unstructured":"Brand L, Nichols K, Wang H, Shen L, Huang H (2020) Joint multi-modal longitudinal regression and classification for Alzheimer\u2019s Disease prediction. IEEE Trans Med Imaging 39(6):1845\u20131855","journal-title":"IEEE Trans Med Imaging"},{"key":"16486_CR5","doi-asserted-by":"publisher","first-page":"2148","DOI":"10.1109\/ACCESS.2022.3232396","volume":"11","author":"Q Dao","year":"2023","unstructured":"Dao Q, El-Yacoubi MA, Rigaud A-S (2023) Detection of Alzheimer Disease on online handwriting using 1D convolutional neural network. IEEE Access 11:2148\u20132155","journal-title":"IEEE Access"},{"key":"16486_CR6","unstructured":"Dataset collected from: https:\/\/www.kaggle.com\/datasets\/katalniraj\/adni-extracted-axial dated 10-04-2023"},{"key":"16486_CR7","unstructured":"Dataset collected from: https:\/\/www.kaggle.com\/datasets\/uraninjo\/augmented-alzheimer-mri-dataset dated 10-04-2023"},{"issue":"1","key":"16486_CR8","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1109\/JBHI.2020.2984355","volume":"25","author":"CS Eke","year":"2021","unstructured":"Eke CS, Jammeh E, Li X, Carroll C, Pearson S, Ifeachor E (2021) Early detection of Alzheimer\u2019s Disease with blood plasma proteins using support vector machines. IEEE J Biomed Health Inf 25(1):218\u2013226","journal-title":"IEEE J Biomed Health Inf"},{"issue":"1","key":"16486_CR9","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/JBHI.2021.3097721","volume":"26","author":"X Gao","year":"2022","unstructured":"Gao X, Shi F, Shen D, Liu M (2022) Task-induced pyramid and attention GAN for multimodal brain image imputation and classification in Alzheimer\u2019s Disease. IEEE J Biomed Health Inf 26(1):36\u201343","journal-title":"IEEE J Biomed Health Inf"},{"issue":"5","key":"16486_CR10","doi-asserted-by":"publisher","first-page":"2613","DOI":"10.1109\/TCBB.2021.3106939","volume":"19","author":"X Guo","year":"2022","unstructured":"Guo X et al (2022) A computational monte carlo simulation strategy to determine the temporal ordering of abnormal age onset among biomarkers of Alzheimer\u2019s disease. IEEE\/ACM Trans Comput Biol Bioinform 19(5):2613\u20132622","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"issue":"2","key":"16486_CR11","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1109\/JSTSP.2019.2955022","volume":"14","author":"F Haider","year":"2020","unstructured":"Haider F, de la Fuente S, Luz S (2020) An Assessment of paralinguistic acoustic features for detection of Alzheimer\u2019s dementia in spontaneous speech. IEEE J Selec Topics Signal Process 14(2):272\u2013281","journal-title":"IEEE J Selec Topics Signal Process"},{"key":"16486_CR12","doi-asserted-by":"publisher","first-page":"126990","DOI":"10.1109\/ACCESS.2022.3223681","volume":"10","author":"YF Khan","year":"2022","unstructured":"Khan YF, Kaushik B, Khalid Imam Rahmani M, Ahmed ME (2022) HSI-LFS-BERT: novel hybrid swarm intelligence based linguistics feature selection and computational intelligent model for Alzheimer\u2019s prediction using audio transcript. IEEE Access 10:126990\u2013127004","journal-title":"IEEE Access"},{"issue":"3","key":"16486_CR13","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1109\/JBHI.2021.3105397","volume":"26","author":"D Klepl","year":"2022","unstructured":"Klepl D, He F, Wu M, Marco MD, Blackburn DJ, Sarrigiannis PG (2022) Characterising Alzheimer\u2019s Disease with EEG-based energy landscape analysis. IEEE J Biomed Health Inf 26(3):992\u20131000","journal-title":"IEEE J Biomed Health Inf"},{"key":"16486_CR14","doi-asserted-by":"publisher","first-page":"2651","DOI":"10.1109\/TNSRE.2022.3204913","volume":"30","author":"D Klepl","year":"2022","unstructured":"Klepl D, He F, Wu M, Blackburn DJ, Sarrigiannis P (2022) EEG-Based graph neural network classification of Alzheimer\u2019s Disease: an empirical evaluation of functional connectivity methods. IEEE Trans Neural Syst Rehabil Eng 30:2651\u20132660","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"3","key":"16486_CR15","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1109\/JBHI.2018.2839771","volume":"23","author":"W Li","year":"2019","unstructured":"Li W, Zhao Y, Chen X, Xiao Y, Qin Y (2019) Detecting Alzheimer\u2019s Disease on small dataset: a knowledge transfer perspective. IEEE J Biomed Health Inf 23(3):1234\u20131242","journal-title":"IEEE J Biomed Health Inf"},{"key":"16486_CR16","doi-asserted-by":"publisher","first-page":"1557","DOI":"10.1109\/TNSRE.2021.3101240","volume":"29","author":"K Li","year":"2021","unstructured":"Li K et al (2021) Feature extraction and identification of Alzheimer\u2019s Disease based on latent factor of multi-channel EEG. IEEE Trans Neural Syst Rehabil Eng 29:1557\u20131567","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"9","key":"16486_CR17","doi-asserted-by":"publisher","first-page":"3677","DOI":"10.1109\/JBHI.2021.3093027","volume":"25","author":"X Li","year":"2021","unstructured":"Li X, Lin Y, Meng X, Qiu Y, Hu B (2021) An L0\u00a0regularization method for imaging genetics and whole genome association analysis on Alzheimer\u2019s Disease. IEEE J Biomed Health Inform 25(9):3677\u20133684","journal-title":"IEEE J Biomed Health Inform"},{"issue":"4","key":"16486_CR18","doi-asserted-by":"publisher","first-page":"880","DOI":"10.1109\/TPAMI.2018.2889096","volume":"42","author":"C Lian","year":"2020","unstructured":"Lian C, Liu M, Zhang J, Shen D (2020) Hierarchical fully convolutional network for joint atrophy localization and Alzheimer\u2019s Disease diagnosis using structural MRI. IEEE Trans Pattern Anal Mach Intell 42(4):880\u2013893","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"16486_CR19","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/JBHI.2019.2914970","volume":"24","author":"FJ Martinez-Murcia","year":"2020","unstructured":"Martinez-Murcia FJ, Ortiz A, Gorriz J-M, Ramirez J, Castillo-Barnes D (2020) Studying the manifold structure of Alzheimer\u2019s Disease: a deep learning approach using convolutional autoencoders. IEEE J Biomed Health Inf 24(1):17\u201326","journal-title":"IEEE J Biomed Health Inf"},{"key":"16486_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2022.3164806","volume":"10","author":"N Mccombe","year":"2022","unstructured":"Mccombe N et al (2022) Alzheimer\u2019s Disease assessments optimized for diagnostic accuracy and administration time. IEEE J Transl Eng Health Med 10:1\u20139 (Art no. 4900809)","journal-title":"IEEE J Transl Eng Health Med"},{"key":"16486_CR21","doi-asserted-by":"publisher","first-page":"90319","DOI":"10.1109\/ACCESS.2021.3090474","volume":"9","author":"S Murugan","year":"2021","unstructured":"Murugan S et al (2021) DEMNET: a deep learning model for early diagnosis of Alzheimer Diseases and dementia from MR images. IEEE Access 9:90319\u201390329","journal-title":"IEEE Access"},{"key":"16486_CR22","doi-asserted-by":"publisher","first-page":"2225","DOI":"10.1109\/TNSRE.2022.3196435","volume":"30","author":"G Palacios-Navarro","year":"2022","unstructured":"Palacios-Navarro G, Buele J, Gimeno Jarque S, Bronchal Garc\u00eda A (2022) Cognitive decline detection for Alzheimer\u2019s disease patients through an Activity of Daily Living (ADL). IEEE Trans Neural Syst Rehabil Eng 30:2225\u20132232","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"4","key":"16486_CR23","doi-asserted-by":"publisher","first-page":"1453","DOI":"10.1109\/JBHI.2021.3083274","volume":"26","author":"M Tanveer","year":"2022","unstructured":"Tanveer M, Rashid AH, Ganaie MA, Reza M, Razzak I, Hua K-L (2022) Classification of Alzheimer\u2019s Disease using ensemble of deep neural networks trained through transfer learning. IEEE J Biomed Health Inf 26(4):1453\u20131463","journal-title":"IEEE J Biomed Health Inf"},{"key":"16486_CR24","doi-asserted-by":"publisher","first-page":"66511","DOI":"10.1109\/ACCESS.2022.3183185","volume":"10","author":"HS Zaina","year":"2022","unstructured":"Zaina HS, Brahim Belhaouari S, Stanko T, Gorovoy V (2022) An exemplar pyramid feature extraction based Alzheimer Disease classification method. IEEE Access 10:66511\u201366521","journal-title":"IEEE Access"},{"key":"16486_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JTEHM.2022.3219775","volume":"11","author":"Y Zhang","year":"2023","unstructured":"Zhang Y, Liu T, Lanfranchi V, Yang P (2023) Explainable tensor multi-task ensemble learning based on brain structure variation for Alzheimer\u2019s Disease dynamic prediction. IEEE J Transl Eng Health Med 11:1\u201312","journal-title":"IEEE J Transl Eng Health Med"},{"issue":"5","key":"16486_CR26","doi-asserted-by":"publisher","first-page":"1571","DOI":"10.1109\/TMI.2019.2953584","volume":"39","author":"Y Zhao","year":"2020","unstructured":"Zhao Y et al (2020) Imaging of nonlinear and dynamic functional brain connectivity based on EEG recordings with the application on the diagnosis of Alzheimer\u2019s Disease. IEEE Trans Med Imaging 39(5):1571\u20131581","journal-title":"IEEE Trans Med Imaging"},{"issue":"10","key":"16486_CR27","doi-asserted-by":"publisher","first-page":"2411","DOI":"10.1109\/TMI.2019.2913158","volume":"38","author":"T Zhou","year":"2019","unstructured":"Zhou T, Liu M, Thung K-H, Shen D (2019) Latent representation learning for Alzheimer\u2019s Disease diagnosis with incomplete multi-modality neuroimaging and genetic data. IEEE Trans Med Imaging 38(10):2411\u20132422","journal-title":"IEEE Trans Med Imaging"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16486-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-16486-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16486-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T03:25:56Z","timestamp":1709781956000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-16486-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,12]]},"references-count":27,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["16486"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-16486-4","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,12]]},"assertion":[{"value":"13 May 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not Applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The authors declare that we have no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}