{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:06:59Z","timestamp":1787162819069,"version":"build-2736575974"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T00:00:00Z","timestamp":1684972800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T00:00:00Z","timestamp":1684972800000},"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"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s11042-023-15198-z","type":"journal-article","created":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T04:02:07Z","timestamp":1684987327000},"page":"5837-5870","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Combining deep features and hand-crafted features for abnormality detection in WCE images"],"prefix":"10.1007","volume":"83","author":[{"given":"Zahra","family":"Amiri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5513-9822","authenticated-orcid":false,"given":"Hamid","family":"Hassanpour","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Azeddine","family":"Beghdadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,5,25]]},"reference":[{"key":"15198_CR1","unstructured":"\u201cGastrointestinal Image Analysis\u201d (2021) [Online]. Available: https:\/\/endovissub2017-giana.grand-challenge.org. [Accessed 2021 July 10]."},{"key":"15198_CR2","doi-asserted-by":"crossref","unstructured":"Ajam A, Forghani M, Alyan Nezhadi M, Qazanfari H, Amiri Z (2019) \u201cContent-based Image Retrieval using Color Difference Histogram in Image Textures\u201d, in 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), IEEE, Shahrood, Iran.","DOI":"10.1109\/ICSPIS48872.2019.9066062"},{"issue":"5","key":"15198_CR3","first-page":"949","volume":"33","author":"M AlyanNezhadi","year":"2020","unstructured":"AlyanNezhadi M, Qazanfari H, Ajam A, Amiri Z (2020) Content-based Image Retrieval Considering Color Difference Histogram of Image Texture and Edge Orientation. Int J Eng 33(5):949\u2013958","journal-title":"Int J Eng, Trans. B: Applications"},{"key":"15198_CR4","doi-asserted-by":"crossref","unstructured":"Amiri Z, Hassanpour H, Beghdadi A (2019) \u201cA Computer-Aided Method to Detect Bleeding Frames in Capsule Endoscopy Images\u201d, in 8th European Workshop on Visual Information Processing (EUVIP) pp. 217\u2013221","DOI":"10.1109\/EUVIP47703.2019.8946168"},{"key":"15198_CR5","doi-asserted-by":"crossref","unstructured":"Amiri Z, Hassanpour H, Beghdadi A (2019) \u201cFeature Selection for Bleeding Detection in Capsule Endoscopy Images using Genetic Algorithm\u201d, in 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), IEEE, Shahrood, Iran.","DOI":"10.1109\/ICSPIS48872.2019.9066008"},{"key":"15198_CR6","doi-asserted-by":"crossref","unstructured":"Amiri Z, Hassanpour H, Beghdadi A (2021) \u201cA Computer-Aided Method for Digestive System Abnormality Detection in WCE Images\u200f\u201d, J Healthcare Eng, vol. 2021","DOI":"10.1155\/2021\/7863113"},{"key":"15198_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103219","volume":"71","author":"Z Amiri","year":"2022","unstructured":"Amiri Z, Hassanpour H, Beghdadi A (2022) Feature Extraction for Abnormality Detection in Capsule Endoscopy images. Biomed Signal Process Control 71:103219","journal-title":"Biomed Signal Process Control"},{"key":"15198_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2020.101852","volume":"88","author":"A Caroppo","year":"2021","unstructured":"Caroppo A, Leone A, Siciliano P (2021) Deep Transfer Learning Approaches for Bleeding Detection in Endoscopy Images. Comput Med Imaging Graph 88:101852","journal-title":"Comput Med Imaging Graph"},{"key":"15198_CR9","doi-asserted-by":"crossref","unstructured":"Coelho P, Pereira A, Salgado M, Cunha A (2018) \u201cA Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies\u200f\u201d, in International Conference Image Analysis and Recognition, pp. 553\u201356","DOI":"10.1007\/978-3-319-93000-8_63"},{"issue":"2","key":"15198_CR10","first-page":"31","volume":"36","author":"AFIMRI Constantinescu","year":"2015","unstructured":"Constantinescu AFIMRI, Ciurea ME, Streba CT, Iovanescu VF, Vere CC (2015) Analysis of Wireless Capsule Endoscopy Images using Local Binary Patterns. Appl Med Inf 36(2):31\u201342","journal-title":"Appl Med Inf"},{"key":"15198_CR11","unstructured":"Dalal N, Triggs B (2005) \u201cHistograms of Oriented Gradients for Human Detection\u200f\u201d, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition"},{"issue":"71","key":"15198_CR12","first-page":"1136","volume":"09","author":"A de Maissin","year":"2021","unstructured":"de Maissin A, Vall\u00e9e R, Flamant M, Fondain-Bossiere M, Le Berre C, C. A. and A. Bourreille (2021) Multi-expert Annotation of Crohn\u2019s Disease Images of the Small Bowel for Automatic Detection using a Convolutional Recurrent Attention Neural Network. Endosc Int Open 09(71):1136\u20131144","journal-title":"Endosc Int Open"},{"key":"15198_CR13","unstructured":"Deeba F (n.d.) \u201cBleeding images and corresponding ground truth of CE images\u201d [Online]. Available: https:\/\/sites.google.com\/site\/farahdeeba073\/Research\/resources"},{"issue":"2","key":"15198_CR14","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/j.bspc.2017.10.011","volume":"40","author":"F Deeba","year":"2018","unstructured":"Deeba F, Islam M, Bui FM, Wahid KA (2018) Performance assessment of a bleeding detection algorithm for endoscopic video based on classifier fusion method and exhaustive feature selection. Biomed Signal Process Control 40(2):415","journal-title":"Biomed Signal Process Control"},{"issue":"2","key":"15198_CR15","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/s40846-017-0299-0","volume":"38","author":"F Deeba","year":"2018","unstructured":"Deeba F, Mohammed SK, Bui FM, Wahid KA (2018) A Saliency-based Unsupervised Method for Angiectasia Detection in Endoscopic Video Frames. J Med Biol Eng 38(2):325\u2013335","journal-title":"J Med Biol Eng"},{"issue":"2","key":"15198_CR16","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1142\/S0219720005001004","volume":"3","author":"C Ding","year":"2005","unstructured":"Ding C, P. H (2005) Minimum Redundancy Feature Selection from Microarray Gene Expression Data. J Bioinf Comput Biol 3(2):185\u2013205","journal-title":"J Bioinf Comput Biol"},{"key":"15198_CR17","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.procs.2021.12.038","volume":"196","author":"F Fonseca","year":"2022","unstructured":"Fonseca F, Nunes B, Salgado M, Cunha A (2022) Abnormality Classification in Small Datasets of Capsule Endoscopy Images. Proced Comput Sci 196:469\u2013476","journal-title":"Proced Comput Sci"},{"key":"15198_CR18","doi-asserted-by":"crossref","unstructured":"Gobpradit S, Vateekul P (2020) \u201cAngiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks\u201d, in Intelligent Information and Database Systems (ACIIDS)","DOI":"10.1007\/978-3-030-41964-6_25"},{"key":"15198_CR19","volume-title":"Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks in In Asian Conference on Intelligent Information and Database Systems (pp. 283-293)","author":"S Gobpradit","year":"2020","unstructured":"Gobpradit S, Vateekul P (2020) Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks in In Asian Conference on Intelligent Information and Database Systems (pp. 283-293). Springer, Cham"},{"key":"15198_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101565","volume":"53","author":"M Hajabdollahi","year":"2019","unstructured":"Hajabdollahi M, Esfandiarpoor R, Khadivi P, Soroushmehr SR, Karimi N, Najarian K, Samavi S (2019) Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames. Biomed Signal Process Control 53:101565","journal-title":"Biomed Signal Process Control"},{"issue":"2","key":"15198_CR21","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/s00384-015-2392-6","volume":"31","author":"M Iwamuro","year":"2016","unstructured":"Iwamuro M, Hiraoka S, Okada H, Kawai Y, Miyabe Y, Takata K, Yamamoto K (2016) Lymphoid Hyperplasia of the Colon and Its Association with Underlying Allergic Airway Diseases. Int J Colorectal Dis 31(2):313\u2013317","journal-title":"Int J Colorectal Dis"},{"key":"15198_CR22","doi-asserted-by":"crossref","unstructured":"Jia X, Meng Q-HM (2017) \u201cA Study on Automated Segmentation of Blood Regions in Wireless Capsule Endoscopy Images using Fully Convolutional Networks\u201d, in IEEE 14th International Symposium on Biomedical Imaging","DOI":"10.1109\/ISBI.2017.7950496"},{"key":"15198_CR23","doi-asserted-by":"crossref","unstructured":"Jia X, Cai L, Liu J, Dai W, Meng MQH (2016) \u201cGI Bleeding Detection in Wireless Capsule Endoscopy Images based on Pattern Recognition and a MapReduce Framework\u201d, in IEEE International Conference on Real-time Computing and Robotics, Angkor Wat, Cambodia","DOI":"10.1109\/RCAR.2016.7784037"},{"key":"15198_CR24","doi-asserted-by":"crossref","unstructured":"Koulaouzidis A, Iakovidis DK, Yung DE, Rondonotti E, Kopylov U, Plevris JN, Toth E, Eliakim A (2017) \u201cKID Project: An Internet-based Digital Video Atlas of Capsule Endoscopy for Research Purposes\u201d, Endosc Int Open, vol. 5, no. 6","DOI":"10.1055\/s-0043-105488"},{"issue":"04","key":"15198_CR25","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1055\/s-0031-1291614","volume":"44","author":"S Lecleire","year":"2012","unstructured":"Lecleire S, Iwanicki-Caron I, Di-Fiore A, Elie C, Alhameedi R, Ramirez S, Antonietti M (2012) Yield and Impact of Emergency Capsule Enteroscopy, in Severe Obscure-Overt Gastrointestinal Bleeding. Endosc 44(04):337\u2013342","journal-title":"Endosc"},{"key":"15198_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-9229-5","volume-title":"\u201cThe Current Main Types of Capsule Endoscopy\u201d, in Handbook of Capsule Endoscopy","author":"ZC Li","year":"2014","unstructured":"Li ZC, Eliakim R, Zou W, Wu H, Liao Z, Gong Z, Wang J, C. J. W. and S. Y. Song (2014) \u201cThe Current Main Types of Capsule Endoscopy\u201d, in Handbook of Capsule Endoscopy. Springer, Dordrecht"},{"key":"15198_CR27","doi-asserted-by":"crossref","unstructured":"Liao C, Wang C, Bai J, Lan L, Wu X (2021) \u201cDeep Learning for Registration of Region of Interest in Consecutive Wireless Capsule Endoscopy Frames\u200f\u201d, Comput Methods Programs Biomed, vol. 208","DOI":"10.1016\/j.cmpb.2021.106189"},{"key":"15198_CR28","doi-asserted-by":"crossref","unstructured":"Margolin R, Tal A, Zelnik-Manor L (2013) \u201cWhat Makes a Patch Distinct?\u201d, in IEEE Conference on Computer Vision and Pattern Recognition (pp. 1139\u20131146)","DOI":"10.1109\/CVPR.2013.151"},{"issue":"6","key":"15198_CR29","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3390\/jimaging4060075","volume":"4","author":"A Mohammed","year":"2018","unstructured":"Mohammed A, Farup I, Pedersen M, Hovde \u00d8, YildirimYayilgan S (2018) Stochastic Capsule Endoscopy Image Enhancement. J Imaging 4(6):75","journal-title":"J Imaging"},{"key":"15198_CR30","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.neucom.2014.02.064","volume":"144","author":"R Nawarathna","year":"2014","unstructured":"Nawarathna R, Oh J, Muthukudage J, Tavanapong W, Wong J, De Groen PC, Tang SJ (2014) Abnormal Image Detection in Endoscopy Videos using a Filter Bank and Local Binary Patterns. Neurocomputing 144:70\u201391","journal-title":"Neurocomputing"},{"key":"15198_CR31","doi-asserted-by":"crossref","unstructured":"Noya F, Alvarez-Gonzalez MA, Benitez R (2017) \u201cAutomated Angiodysplasia Detection from Wireless Capsule Endoscopy\u201d, in 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","DOI":"10.1109\/EMBC.2017.8037527"},{"issue":"1","key":"15198_CR32","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu N (1979) A Threshold Selection Method from Gray-Level Histograms. IEEE Trans Syst Man Cybern 9(1):62\u201366","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"5","key":"15198_CR33","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1159\/000518901","volume":"29","author":"MM Saraiva","year":"2022","unstructured":"Saraiva MM, Ribeiro T, Afonso J, Ferreira JP, Cardoso H, Andrade P, Macedo G (2022) Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network. GE-Portuguese J Gastroenterol 29(5):331\u2013338","journal-title":"GE-Portuguese J Gastroenterol"},{"key":"15198_CR34","first-page":"1617","volume":"6","author":"R Shahril","year":"2016","unstructured":"Shahril R, Baharun S, Islam A (2016) Pre-processing Technique for Wireless Capsule Endoscopy Image Enhancement. Int J Electric Comput Eng 6:1617\u20131626","journal-title":"Int J Electric Comput Eng"},{"key":"15198_CR35","doi-asserted-by":"crossref","unstructured":"Shvets AA, Iglovikov VI, Rakhlin A, Kalinin AA (2018) \u201cAngiodysplasia Detection and Localization using Deep Convolutional Neural Networks\u201d, in 2018 17th IEEE International Conference on Machine Learning and Applications (icmla). pp. 612\u2013617","DOI":"10.1109\/ICMLA.2018.00098"},{"issue":"1","key":"15198_CR36","first-page":"1","volume":"8","author":"PH Smedsrud","year":"2020","unstructured":"Smedsrud PH, Thambawita V, Hicks SA, Gjestang H, Nedrejord OO, N\u00e6ss E, Halvorsen P (2020) Kvasir-Capsule, a Video Capsule Endoscopy Dataset. Scientific Data 8(1):1\u201310","journal-title":"Scientific Data"},{"issue":"10","key":"15198_CR37","doi-asserted-by":"publisher","first-page":"13091","DOI":"10.1007\/s11042-018-6086-2","volume":"78","author":"M Souaidi","year":"2019","unstructured":"Souaidi M, Abdelouahed AA, El Ansari M (2019) Multi-scale Completed Local Binary Patterns for Ulcer Detection in Wireless Capsule Endoscopy Images. Multimed Tools Appl 78(10):13091\u201313108","journal-title":"Multimed Tools Appl"},{"issue":"2","key":"15198_CR38","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/s10916-018-1153-9","volume":"43","author":"PS Sundaram","year":"2019","unstructured":"Sundaram PS, Santhiyakumari N (2019) An Enhancement of Computer Aided Approach for Colon Cancer Detection in WCE Images Using ROI Based Color Histogram and SVM2. J Med Syst 43(2):29","journal-title":"J Med Syst"},{"issue":"1","key":"15198_CR39","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.cmpb.2012.09.004","volume":"113","author":"P Szczypi\u0144ski","year":"2014","unstructured":"Szczypi\u0144ski P, Klepaczkoa A, P. P. and P. Danielb (2014) Texture and Color based Image Segmentation and Pathology Detection in Capsule Endoscopy Videos. Comput Methods Programs Biomed 113(1):396\u2013411","journal-title":"Comput Methods Programs Biomed"},{"key":"15198_CR40","doi-asserted-by":"crossref","unstructured":"Szegedy C, Ioffe S, Vanhoucke V, Alemi AA (2017) \u201cInception-v4, Inception-Resnet and the Impact of Residual Connections on Learning\u201d, in Thirty-first AAAI conference on artificial intelligence, San Francisco","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"15198_CR41","doi-asserted-by":"crossref","unstructured":"Usman M, Satrya G, Usman M, Shin S (2016) \u201cDetection of Small Colon Bleeding in Wireless Capsule Endoscopy Videos\u201d, Computerized Medical Imaging and Graphics, vol. 09, no. 5","DOI":"10.1016\/j.compmedimag.2016.09.005"},{"key":"15198_CR42","doi-asserted-by":"crossref","unstructured":"Vall\u00e9e R, De Maissin A, Coutrot A, Mouch\u00e8re H, Bourreille A, Normand N (2020) \u201cCrohnIPI: An Endoscopic Image Database for the Evaluation of Automatic Crohn's Disease Lesions Recognition Algorithms\u201d, Medical Imaging 2020: Biomed Appl Mole Struct Function Imaging, vol. 11317","DOI":"10.1117\/12.2543584"},{"key":"15198_CR43","doi-asserted-by":"crossref","unstructured":"Vieira PM, Gon\u00e7alves B, Gon\u00e7alves CR, Lima CS (2016) \u201cSegmentation of Angiodysplasia Lesions in WCE Images using a MAP Approach with Markov Random Fields\u201d, in IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA","DOI":"10.1109\/EMBC.2016.7590916"},{"key":"15198_CR44","doi-asserted-by":"publisher","first-page":"1446","DOI":"10.1007\/s10439-019-02248-7","volume":"47","author":"P Vieira","year":"2019","unstructured":"Vieira P, Silva C, Costa D (2019) Automatic Segmentation and Detection of Small Bowel Angioectasias in WCE Images. Ann Biomed Eng 47:1446\u20131462","journal-title":"Ann Biomed Eng"},{"issue":"3","key":"15198_CR45","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1136\/gut.2004.040055","volume":"54","author":"WA Voderholzer","year":"2005","unstructured":"Voderholzer WA, Beinhoelzl J, Rogalla P, Murrer S, Schachschal G, Lochs H, Ortner MA (2005) Small Bowel Involvement in Crohn\u2019s disease: a Prospective Comparison of Wireless Capsule Endoscopy and Computed Tomography Enteroclysis. Gut 54(3):369\u2013373","journal-title":"Gut"},{"key":"15198_CR46","doi-asserted-by":"crossref","unstructured":"Wang G, Fang C, Ming Y (2015) \u201cUniform Local Binary Pattern Based Texture-Edge Feature for 3D Human Behavior Recognition\u201d, PLoS One 10(5), vol. 10, no. 5","DOI":"10.1371\/journal.pone.0124640"},{"key":"15198_CR47","doi-asserted-by":"crossref","unstructured":"Xuan D, Guan W, Yi P (2011) \u201cFast Efficient Algorithm for Enhancement of Low Lighting Video\u200f\u201d in IEEE International Conference on Multimedia, Barcelona","DOI":"10.1109\/ICME.2011.6012107"},{"key":"15198_CR48","doi-asserted-by":"crossref","unstructured":"Yu JS, Chen J, Xiang ZQ, Zou YX (2015) \u201cA Hybrid Convolutional Neural Networks with Extreme Learning Machine for WCE Image Classification\u201d, in IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1822\u20131827)","DOI":"10.1109\/ROBIO.2015.7419037"},{"key":"15198_CR49","doi-asserted-by":"crossref","unstructured":"Yuan Y, Wang J, Li B, Meng MQH (2015) \u201cSaliency based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis\u200f\u201d IEEE Trans Med Imaging, vol. 34, no. 10","DOI":"10.1109\/TMI.2015.2418534"},{"issue":"2","key":"15198_CR50","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1109\/JBHI.2015.2399502","volume":"20","author":"Y Yuan","year":"2015","unstructured":"Yuan Y, Li B, Meng Q (2015) Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video. IEEE J Biomed Health Inform 20(2):624\u2013630","journal-title":"IEEE J Biomed Health Inform"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15198-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-15198-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15198-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T00:25:01Z","timestamp":1704500701000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-15198-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,25]]},"references-count":50,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["15198"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-15198-z","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,25]]},"assertion":[{"value":"21 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 March 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 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":"We have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}