{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T10:54:13Z","timestamp":1775040853495,"version":"3.50.1"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031838781","type":"print"},{"value":"9783031838798","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-83879-8_11","type":"book-chapter","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T07:37:00Z","timestamp":1741333020000},"page":"133-142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Cleaning Binary Distortion on MNIST Dataset"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2867-1734","authenticated-orcid":false,"given":"Rafael","family":"Castaneda-Diaz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0710-6062","authenticated-orcid":false,"given":"Daniela","family":"Lopez-Betancur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0721-8515","authenticated-orcid":false,"given":"Carlos","family":"Guerrero-Mendez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8060-6170","authenticated-orcid":false,"given":"Efr\u00e9n Gonz\u00e1lez","family":"Ram\u00edrez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6654-3313","authenticated-orcid":false,"given":"Salvador","family":"G\u00f3mez-Jim\u00e9nez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6692-0991","authenticated-orcid":false,"given":"Flossi","family":"Puma-Ttito","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,8]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","unstructured":"Venkataraman, P.: Image Denoising Using Convolutional Autoencoder. el 24 de julio de 2022. arXiv: arXiv:2207.11771. https:\/\/doi.org\/10.48550\/arXiv.2207.11771","DOI":"10.48550\/arXiv.2207.11771"},{"key":"11_CR2","unstructured":"Zhang, Y.: A better autoencoder for image: convolutional autoencoder. In: ICONIP17-DCEC (2018).\u00a0https:\/\/users.cecs.anu.edu.au\/~Tom.Gedeon\/conf\/ABCs2018\/paper\/ABCs2018_paper_58.pdf. Accessed 23 Mar 2017"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Lopez-Betancur, D., Moreno, I., Guerrero-Mendez, C., Gomez-Melendez, D., de J. Macias P., M., Olvera-Olvera, C.: Effects of colored light on growth and nutritional composition of tilapia, and biofloc as a food source. Appl. Sci. 10(1), 362 (2020). Consultado: el 22 de septiembre de 2024. https:\/\/www.mdpi.com\/2076-3417\/10\/1\/362","DOI":"10.3390\/app10010362"},{"key":"11_CR4","unstructured":"Guerrero M\u00e9ndez, C., Saucedo Anaya, T., Araiza Esquivel, M.A., Balderas Navarro, R.E., L\u00f3pez Mart\u00ednez, A., Olvera Olvera, C.A.: Measurements of concentration differences between liquid mixtures using digital holographic interferometry (2017). Consultado: el 22 de septiembre de 2024. http:\/\/148.217.50.3\/jspui\/handle\/20.500.11845\/1447"},{"key":"11_CR5","doi-asserted-by":"publisher","unstructured":"Fan, L., Zhang, F., Fan, H., Zhang, C.: Brief review of image denoising techniques. Vis. Comput. Ind. Biomed. Art 2(1), 7 (2019). https:\/\/doi.org\/10.1186\/s42492-019-0016-7","DOI":"10.1186\/s42492-019-0016-7"},{"key":"11_CR6","unstructured":"Learning representations by back-propagating errors | Semantic Scholar. Consultado: el 12 de septiembre de 2024. https:\/\/www.semanticscholar.org\/paper\/Learning-representations-by-back-propagating-errors-Rumelhart-Hinton\/052b1d8ce63b07fec3de9dbb583772d860b7c769"},{"key":"11_CR7","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)"},{"key":"11_CR8","doi-asserted-by":"publisher","unstructured":"Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.-A.: Extracting and composing robust features with denoising autoencoders. In: Proceedings of the 25th International Conference on Machine Learning - ICML 2008, pp. 1096\u20131103. ACM Press, Helsinki (2008). https:\/\/doi.org\/10.1145\/1390156.1390294","DOI":"10.1145\/1390156.1390294"},{"key":"11_CR9","doi-asserted-by":"publisher","unstructured":"Methods for image denoising using convolutional neural network: a review\u2014Complex & Intelligent Systems. Consultado: el 10 de octubre de 2024. https:\/\/doi.org\/10.1007\/S40747-021-00428-4","DOI":"10.1007\/S40747-021-00428-4"},{"key":"11_CR10","doi-asserted-by":"publisher","unstructured":"Wang, Z., Bovik, A., Sheikh, H., Simoncelli, E.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13, 600\u2013612 (2004). https:\/\/doi.org\/10.1109\/TIP.2003.819861","DOI":"10.1109\/TIP.2003.819861"},{"key":"11_CR11","unstructured":"Nilsson, J., Akenine-M\u00f6ller, T.: Understanding SSIM. el 29 de junio de 2020 arXiv: arXiv:2006.13846. Consultado: el 18 de septiembre de 2024. http:\/\/arxiv.org\/abs\/2006.13846"},{"key":"11_CR12","doi-asserted-by":"publisher","unstructured":"\u0421\u0442\u0430\u0440\u043e\u0432\u043e\u0439\u0442\u043e\u0432, \u0412.B.: \u0418\u043d\u0434\u0435\u043a\u0441 SSIM \u043d\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043c\u0435\u0442\u0440\u0438\u043a\u043e\u0439 \u0438 \u043f\u043b\u043e\u0445\u043e \u043e\u0446\u0435\u043d\u0438\u0432\u0430\u0435\u0442 \u0441\u0445\u043e\u0434\u0441\u0442\u0432\u043e \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. \u0421\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u043d\u0430\u044f \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430, vol. 0, n\u00fam. 2, Art. n\u00fam. 2, ago. 2019. https:\/\/doi.org\/10.21122\/2309-4923-2019-2-12-17","DOI":"10.21122\/2309-4923-2019-2-12-17"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence. MICAI 2024 International Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-83879-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T07:37:07Z","timestamp":1741333027000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-83879-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031838781","9783031838798"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-83879-8_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"It is now necessary to declare any competing interests or explicitly state that the authors have no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tonantzintla","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2024\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}