{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T05:01:14Z","timestamp":1726030874175},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030205171"},{"type":"electronic","value":"9783030205188"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-20518-8_32","type":"book-chapter","created":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T19:02:40Z","timestamp":1559674960000},"page":"377-389","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Detection of Cancerous Lesions with Neural Networks"],"prefix":"10.1007","author":[{"given":"Hassan","family":"El-khatib","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Popescu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Loretta","family":"Ichim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,16]]},"reference":[{"issue":"10","key":"32_CR1","doi-asserted-by":"publisher","first-page":"e11936","DOI":"10.2196\/11936","volume":"20","author":"TJ Brinker","year":"2018","unstructured":"Brinker, T.J., et al.: Skin cancer classification using convolutional neural networks: systematic. Rev. J. Med. Internet Res. 20(10), e11936 (2018)","journal-title":"Rev. J. Med. Internet Res."},{"key":"32_CR2","doi-asserted-by":"crossref","unstructured":"Argenziano, G., Soyer, H,P.: Dermoscopy of pigmented skin lesions: a valuable tool for early diagnosis of melanoma. Lancet Oncol. 2(7), 443\u2013449 (2001)","DOI":"10.1016\/S1470-2045(00)00422-8"},{"key":"32_CR3","first-page":"1","volume":"8318","author":"A Ara","year":"2012","unstructured":"Ara, A., Deserno, T.M.: A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data. Proc. SPIE Int. Soc. Opt. Eng. 8318, 1\u20136 (2012)","journal-title":"Proc. SPIE Int. Soc. Opt. Eng."},{"key":"32_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2011\/125762","volume":"2011","author":"G. Fabbrocini","year":"2011","unstructured":"Fabbrocini, G., et al.: Teledermatology: from prevention to diagnosis of nonmelanoma and melanoma skin cancer. Int. J. Telemed. Appl. 2011(17), 125762 (2011)","journal-title":"International Journal of Telemedicine and Applications"},{"key":"32_CR5","volume-title":"Pattern Classification","author":"PE Hart","year":"2000","unstructured":"Hart, P.E., Stork, D.G., Duda, R.O.: Pattern Classification, 2nd edn. Wiley, Hoboken (2000)","edition":"2"},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Jianu, S.R.S., Ichim, L., Popescu, D., Chenaru, O.: Advanced processing techniques for detection and classification of skin lesions. In: 22nd International Conference on System Theory, Control and Computing (ICSTCC), pp. 498\u2013503. Sinaia, Romania, 10\u201312 October 2018","DOI":"10.1109\/ICSTCC.2018.8540732"},{"issue":"3","key":"32_CR7","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1007\/s00521-016-2482-6","volume":"29","author":"RB Oliveira","year":"2016","unstructured":"Oliveira, R.B., Papa, J.P., Pereira, A.S., Tavares, J.M.R.S.: Computational methods for pigmented skin lesion classification in images: review and future trends. Neural Comput. Appl. 29(3), 613\u2013636 (2016)","journal-title":"Neural Comput. Appl."},{"issue":"7553","key":"32_CR8","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Pomponiu, V., Nejati, H., Cheung, N.M.: Deepmole: deep neural networks for skin mole lesion classification. In: Proceedings of the IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 25\u201328 September 2016","DOI":"10.1109\/ICIP.2016.7532834"},{"key":"32_CR10","doi-asserted-by":"crossref","unstructured":"Codella, N., Cai, J., Abedini, M., Garnavi, R., Halpern, A., Smith, J.R.: Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images. In: 6th International Workshop on Machine Learning in Medical Imaging, pp. 118\u2013126, Munich, Germany, 5\u20139 October 2015","DOI":"10.1007\/978-3-319-24888-2_15"},{"issue":"7639","key":"32_CR11","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nature21056","volume":"542","author":"A Esteva","year":"2017","unstructured":"Esteva, A., et al.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639), 115\u2013118 (2017)","journal-title":"Nature"},{"key":"32_CR12","unstructured":"Gutman, D., et al.: Skin lesion analysis toward melanoma detection: a challenge. In: The International Symposium on Biomedical Imaging (ISBI) 2016, Hosted by the International Skin Imaging Collaboration (ISIC) (2016). arXiv, 04 May 2016"},{"key":"32_CR13","unstructured":"https:\/\/www.mathworks.com\/help\/deeplearning\/examples\/train-deep-learning-network-to-classify-new-images.html\n                      \n                    . Accessed 20 Jan 2019"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20518-8_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T19:13:06Z","timestamp":1559675586000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20518-8_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030205171","9783030205188"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20518-8_32","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":"16 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gran Canaria","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"210","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"150","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"71% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2,9","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2,5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}