{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T10:43:13Z","timestamp":1778496193414,"version":"3.51.4"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031077036","type":"print"},{"value":"9783031077043","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-07704-3_26","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T13:13:06Z","timestamp":1654607586000},"page":"319-329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["On the\u00a0Use of\u00a0Explainable Artificial Intelligence for\u00a0the\u00a0Differential Diagnosis of\u00a0Pigmented Skin Lesions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0990-480X","authenticated-orcid":false,"given":"Sandro","family":"Hurtado","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6161-0430","authenticated-orcid":false,"given":"Hossein","family":"Nematzadeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2985-3480","authenticated-orcid":false,"given":"Jos\u00e9","family":"Garc\u00eda-Nieto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5437-5196","authenticated-orcid":false,"given":"Miguel-\u00c1ngel","family":"Berciano-Guerrero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7819-5416","authenticated-orcid":false,"given":"Ismael","family":"Navas-Delgado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,8]]},"reference":[{"issue":"8","key":"26_CR1","doi-asserted-by":"publisher","first-page":"557","DOI":"10.3390\/diagnostics10080577","volume":"10","author":"S Banerjee","year":"2020","unstructured":"Banerjee, S., Singh, S.K., Chakraborty, A., Das, A., Bag, R.: Melanoma diagnosis using deep learning and fuzzy logic. Diagnostics 10(8), 557 (2020). https:\/\/doi.org\/10.3390\/diagnostics10080577","journal-title":"Diagnostics"},{"key":"26_CR2","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","volume":"58","author":"A Barredo Arrieta","year":"2020","unstructured":"Barredo Arrieta, A., et al.: Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58, 82\u2013115 (2020). https:\/\/doi.org\/10.1016\/j.inffus.2019.12.012","journal-title":"Inf. Fusion"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Gulum, M.A., Trombley, C.M., Kantardzic, M.: A review of explainable deep learning cancer detection models in medical imaging. Appl. Sci. 11(10) (2021)","DOI":"10.3390\/app11104573"},{"key":"26_CR4","doi-asserted-by":"publisher","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770\u2013778 (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"issue":"3","key":"26_CR5","doi-asserted-by":"publisher","first-page":"740","DOI":"10.3390\/make3030037","volume":"3","author":"S Knapi\u010d","year":"2021","unstructured":"Knapi\u010d, S., Malhi, A., Saluja, R., Fr\u00e4mling, K.: Explainable artificial intelligence for human decision support system in the medical domain. Mach. Learn. Knowl. Extract. 3(3), 740\u2013770 (2021)","journal-title":"Mach. Learn. Knowl. Extract."},{"key":"26_CR6","unstructured":"Lundberg, S.M., Lee, S.I.: A unified approach to interpreting model predictions. In: Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS 2017), pp. 4768\u20134777. Curran Associates Inc., Red Hook (2017)"},{"key":"26_CR7","doi-asserted-by":"publisher","first-page":"110575","DOI":"10.1109\/ACCESS.2020.3001507","volume":"8","author":"A Naeem","year":"2020","unstructured":"Naeem, A., Farooq, M.S., Khelifi, A., Abid, A.: Malignant melanoma classification using deep learning: datasets, performance measurements, challenges and opportunities. IEEE Access 8, 110575\u2013110597 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3001507","journal-title":"IEEE Access"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: Why Should I Trust You?: Explaining the Predictions of Any Classifier. Association for Computing Machinery (2016)","DOI":"10.18653\/v1\/N16-3020"},{"key":"26_CR9","unstructured":"Samek, W., Montavon, G., Lapuschkin, S., Anders, C.J., M\u00fcller, K.: Toward interpretable machine learning: transparent deep neural networks and beyond. arXiv preprint arXiv:2003.07631 (2020)"}],"container-title":["Lecture Notes in Computer Science","Bioinformatics and Biomedical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07704-3_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,19]],"date-time":"2022-06-19T23:08:19Z","timestamp":1655680099000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07704-3_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031077036","9783031077043"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07704-3_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"8 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWBBIO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Bioinformatics and Biomedical Engineering","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwbbio2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwbbio.ugr.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 (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"212","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"75","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35% - 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 (provided by the conference organizers)"}},{"value":"3,1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}