{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T16:03:20Z","timestamp":1762099400986,"version":"build-2065373602"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"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":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-023-00962-2","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T18:02:28Z","timestamp":1705082548000},"page":"814-830","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Horse Herd Optimization with Gate Recurrent Unit for an Automatic Classification of Different Facial Skin Disease"],"prefix":"10.1007","volume":"37","author":[{"given":"E.","family":"Anbalagan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Malathi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,12]]},"reference":[{"issue":"6","key":"962_CR1","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1590\/abd1806-4841.20188802","volume":"93","author":"HA Miot","year":"2018","unstructured":"Miot HA, de Oliveira Penna G, Ramos AM, Penna ML, Schmidt SM, Luz FB, Sousa MA, Palma SL, Junior JA: Profile of dermatological consultations in Brazil (2018). Anais brasileiros de dermatologia 93(6):916\u201328, 2018.","journal-title":"Anais brasileiros de dermatologia"},{"issue":"3","key":"962_CR2","first-page":"223","volume":"13","author":"S Perumal Sankar","year":"2017","unstructured":"Perumal Sankar S, Viswanath N, Jer Lang H, Karthick S: An Effective Content Based Medical Image Retrieval by Using ABC based Artificial Neural Network (ANN). Current Medical Imaging Reviews 13(3):223\u2013230, 2017.","journal-title":"Current Medical Imaging Reviews"},{"issue":"12","key":"962_CR3","first-page":"555","volume":"10","author":"CH Lim","year":"2021","unstructured":"Lim CH, Son MJ, Kim MH: A Study on Facial Skin Disease Recognition Using Multi-Label Classification. KIPS Transactions on Software and Data Engineering 10(12):555\u201360, 2021.","journal-title":"KIPS Transactions on Software and Data Engineering"},{"key":"962_CR4","doi-asserted-by":"crossref","unstructured":"Narayanan SJ, Jaiswal PR, Chowdhury A, Joseph AM, Ambar S: A Computational Intelligence Approach for Skin Disease Identification Using Machine\/Deep Learning Algorithms. Computational Intelligence and Healthcare Informatics 269\u201395, 2021.","DOI":"10.1002\/9781119818717.ch15"},{"key":"962_CR5","doi-asserted-by":"crossref","unstructured":"Ahmad F, Hariharan U, Karthick S, Pawar VE, Sharon Priya S: Optimized Lung Nodule Prediction Model for Lung Cancer Using Contour Features Extraction. Optical Memory and Neural Networks 32(2):126\u2013136, 2023.","DOI":"10.3103\/S1060992X23020091"},{"key":"962_CR6","doi-asserted-by":"crossref","unstructured":"Hardi SM, Siregar DP: Diagnosis of Facial Skin Disease in Expert System Using Fuzzy Sugeno Method. InJournal of Physics: Conference Series 1898(1):012021, 2021, IOP Publishing.","DOI":"10.1088\/1742-6596\/1898\/1\/012021"},{"key":"962_CR7","doi-asserted-by":"crossref","unstructured":"Manage DM, Alahakoon AI, Weerathunga K, Weeratunga T, Lunugalage D, De Silva H: Deep Transfer Learning Approach for Facial and Verbal Disease Detection. In2021 3rd International Conference on Advancements in Computing (ICAC) 317\u2013322, 2021. IEEE.","DOI":"10.1109\/ICAC54203.2021.9671105"},{"key":"962_CR8","doi-asserted-by":"publisher","unstructured":"Karthick S, Muthukumaran N: Deep Regression Network for Single-Image Super-Resolution Based on Down- and Upsampling with RCA Blocks. National Academy Science Letters, 2023. https:\/\/doi.org\/10.1007\/s40009-023-01353-5","DOI":"10.1007\/s40009-023-01353-5"},{"issue":"1","key":"962_CR9","doi-asserted-by":"publisher","first-page":"9626","DOI":"10.1038\/s41598-020-66723-1","volume":"10","author":"K Tsuchida","year":"2020","unstructured":"Tsuchida K, Kobayashi M: Oxidative stress in human facial skin observed by ultraweak photon emission imaging and its correlation with biophysical properties of skin. Scientific Reports 10(1):9626, 2020.","journal-title":"Scientific Reports"},{"key":"962_CR10","doi-asserted-by":"crossref","unstructured":"Karunanayake RK, Dananjaya WM, Peiris MY, Gunatileka BR, Lokuliyana S, Kuruppu A: CURETO: skin diseases detection using image processing and CNN. In2020 14th international conference on Innovations in Information Technology (IIT) 1\u20136, 2020. IEEE.","DOI":"10.1109\/IIT50501.2020.9299041"},{"key":"962_CR11","doi-asserted-by":"publisher","first-page":"39025","DOI":"10.1109\/ACCESS.2020.2975198","volume":"8","author":"B Ahmad","year":"2020","unstructured":"Ahmad B, Usama M, Huang CM, Hwang K, Hossain MS, Muhammad G: Discriminative feature learning for skin disease classification using deep convolutional neural network. IEEE Access 8:39025\u201333, 2020.","journal-title":"IEEE Access"},{"key":"962_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2021.100955","volume":"67","author":"X He","year":"2021","unstructured":"He X, Wang Y, Wang X, Huang W, Zhao S, Chen X: Simple-Encoded evolving convolutional neural network and its application to skin disease image classification. Swarm and Evolutionary Computation 67:100955, 2021.","journal-title":"Swarm and Evolutionary Computation"},{"key":"962_CR13","doi-asserted-by":"publisher","first-page":"66505","DOI":"10.1109\/ACCESS.2019.2918221","volume":"7","author":"ZH Wu","year":"2019","unstructured":"Wu ZH, Zhao S, Peng Y, He X, Zhao X, Huang K, Wu X, Fan W, Li F, Chen M, Li J: Studies on different CNN algorithms for face skin disease classification based on clinical images. IEEE Access 7:66505\u201311, 2019.","journal-title":"IEEE Access"},{"key":"962_CR14","doi-asserted-by":"crossref","unstructured":"El Saleh R, Bakhshi S, Amine NA: Deep convolutional neural network for face skin diseases identification. In2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME) 1\u20134, 2019. IEEE.","DOI":"10.1109\/ICABME47164.2019.8940336"},{"key":"962_CR15","doi-asserted-by":"crossref","unstructured":"Mahmudi I, Ahsan AC, Kasim AA, Nur R, Basalamah R, Septiarini A: Face Skin Disease Detection with Textural Feature Extraction. In2020 6th International Conference on Science in Information Technology (ICSITech) 133\u2013137, 2020. IEEE.","DOI":"10.1109\/ICSITech49800.2020.9392030"},{"key":"962_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104118","volume":"128","author":"E Goceri","year":"2021","unstructured":"Goceri E: Deep learning based classification of facial dermatological disorders. Computers in Biology and Medicine 128:104118, 2021.","journal-title":"Computers in Biology and Medicine"},{"issue":"4","key":"962_CR17","doi-asserted-by":"publisher","first-page":"423","DOI":"10.3390\/e21040423","volume":"21","author":"R Koshy","year":"2019","unstructured":"Koshy R, Mahmood A: Optimizing deep CNN architectures for face liveness detection. Entropy 21(4):423, 2019.","journal-title":"Entropy"},{"issue":"21","key":"962_CR18","doi-asserted-by":"publisher","first-page":"3150","DOI":"10.1016\/j.ijleo.2015.07.069","volume":"126","author":"S Anand","year":"2015","unstructured":"Anand S, Gayathri S: Mammogram image enhancement by two-stage adaptive histogram equalization. Optik 126(21):3150\u20132, 2015.","journal-title":"Optik"},{"key":"962_CR19","doi-asserted-by":"crossref","unstructured":"Patil SB, Patil BP: Automatic detection of microaneurysms in retinal fundus images using modified high boost filtering, line detectors and OC-SVM. In2020 International Conference on Industry 4.0 Technology (I4Tech) 148\u2013153, 2020, IEEE.","DOI":"10.1109\/I4Tech48345.2020.9102677"},{"issue":"4","key":"962_CR20","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1007\/s00530-021-00800-x","volume":"28","author":"K Shankar","year":"2022","unstructured":"Shankar K, Perumal E, Tiwari P, Shorfuzzaman M, Gupta D: Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images. Multimedia Systems 28(4):1175\u201387, 2022.","journal-title":"Multimedia Systems"},{"key":"962_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.102746","volume":"66","author":"F Peng","year":"2020","unstructured":"Peng F, Qin L, Long M: Face presentation attack detection based on chromatic co-occurrence of local binary pattern and ensemble learning. Journal of Visual Communication and Image Representation 66:102746, 2020.","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"962_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106711","volume":"213","author":"F MiarNaeimi","year":"2021","unstructured":"MiarNaeimi F, Azizyan G, Rashki M: Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems. Knowledge-Based Systems 213:106711, 2021.","journal-title":"Knowledge-Based Systems"},{"key":"962_CR23","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.neucom.2020.03.080","volume":"403","author":"F Li","year":"2020","unstructured":"Li F, Gui Z, Zhang Z, Peng D, Tian S, Yuan K, Sun Y, Wu H, Gong J, Lei Y: A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction. Neurocomputing 403:153\u201366, 2020.","journal-title":"Neurocomputing"},{"key":"962_CR24","unstructured":"Dataset 1: https:\/\/www.kaggle.com\/datasets\/amellia\/face-skin-disease"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-023-00962-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-023-00962-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-023-00962-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T23:57:53Z","timestamp":1731023873000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-023-00962-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"references-count":24,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["962"],"URL":"https:\/\/doi.org\/10.1007\/s10278-023-00962-2","relation":{},"ISSN":["2948-2933"],"issn-type":[{"type":"electronic","value":"2948-2933"}],"subject":[],"published":{"date-parts":[[2024,1,12]]},"assertion":[{"value":"5 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 October 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 November 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}