{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:52:50Z","timestamp":1743123170277,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030227401"},{"type":"electronic","value":"9783030227418"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-22741-8_7","type":"book-chapter","created":{"date-parts":[[2019,6,7]],"date-time":"2019-06-07T15:02:45Z","timestamp":1559919765000},"page":"89-101","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Lung Nodule Diagnosis via Deep Learning and Swarm Intelligence"],"prefix":"10.1007","author":[{"given":"Cesar Affonso","family":"de Pinho Pinheiro","sequence":"first","affiliation":[]},{"given":"Nadia","family":"Nedjah","sequence":"additional","affiliation":[]},{"given":"Luiza","family":"de Macedo\u00a0Mourelle","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,8]]},"reference":[{"unstructured":"Kuan, K., et al.: Deep learning for lung cancer detection: tackling the kaggle data science bowl 2017 challenge. arXiv preprint arXiv:1705.09435 (2017)","key":"7_CR1"},{"unstructured":"Chon, A., Balachandra, N., Lu, P.: Deep convolutional neural networks for lung cancer detection. Standford University (2017)","key":"7_CR2"},{"unstructured":"Jayanthi, S., Preetha, K.: Breast cancer detection and classification using artificial neural network with particle swarm optimization. Int. J. Adv. Res. Basic Eng. Sci. Technol. 2 (2016)","key":"7_CR3"},{"key":"7_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization (1995)","key":"7_CR5"},{"issue":"3","key":"7_CR6","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga, D., Basturk, B.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Global Optim. 39(3), 459\u2013471 (2007)","journal-title":"J. Global Optim."},{"issue":"1","key":"7_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/jsir.2010010101","volume":"1","author":"KM Passino","year":"2010","unstructured":"Passino, K.M.: Bacterial foraging optimization. Int. J. Swarm. Intell. Res. 1(1), 1\u201316 (2010)","journal-title":"Int. J. Swarm. Intell. Res."},{"doi-asserted-by":"crossref","unstructured":"Ritthipakdee, T., Premasathian, J.: Firefly mating algorithm for continuous optimization problems, July 2017","key":"7_CR8","DOI":"10.1155\/2017\/8034573"},{"key":"7_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/978-3-642-13495-1_44","volume-title":"Advances in Swarm Intelligence","author":"Y Tan","year":"2010","unstructured":"Tan, Y., Zhu, Y.: Fireworks algorithm for optimization. In: Tan, Y., Shi, Y., Tan, K.C. (eds.) ICSI 2010. LNCS, vol. 6145, pp. 355\u2013364. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13495-1_44"},{"issue":"2","key":"7_CR10","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem, Z.W., Kim, J.H., Loganathan, G.: A new heuristic optimization algorithm: harmony search. SIMULATION 76(2), 60\u201368 (2001)","journal-title":"SIMULATION"},{"doi-asserted-by":"crossref","unstructured":"Khajehzadeh, M., Eslami, M.: Gravitational search algorithm for optimization of retaining structures. Indian J. Sci. Technol. 5(1) (2012)","key":"7_CR11","DOI":"10.17485\/ijst\/2012\/v5i1.7"},{"unstructured":"Cancer Imaging Archive: The lung image database consortium image collection (LIDC-IDRI). https:\/\/wiki.cancerimagingarchive.net\/display\/Public\/LIDC-IDRI. Accessed 2 Feb 2018","key":"7_CR12"},{"unstructured":"Jacobs, C., Setio, A.A.A., Traverso, A., van Ginneken, B.: Lung nodule analysis 2016 (LUNA16). https:\/\/luna16.grand-challenge.org\/. Accessed 2 Feb 2018","key":"7_CR13"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-22741-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T03:27:36Z","timestamp":1686108456000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-22741-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030227401","9783030227418"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-22741-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"8 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Faro","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}