{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T17:34:34Z","timestamp":1777484074236,"version":"3.51.4"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030276287","type":"print"},{"value":"9783030276294","type":"electronic"}],"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\/978-3-030-27629-4_34","type":"book-chapter","created":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T03:14:09Z","timestamp":1568171649000},"page":"374-382","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["On the Usefulness of Pre-Processing Step in Melanoma Detection Using Multiple Instance Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7457-7118","authenticated-orcid":false,"given":"Eugenio","family":"Vocaturo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1129-3737","authenticated-orcid":false,"given":"Ester","family":"Zumpano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2494-0294","authenticated-orcid":false,"given":"Pierangelo","family":"Veltri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,12]]},"reference":[{"key":"34_CR1","doi-asserted-by":"publisher","unstructured":"Astorino, A., Fuduli, A., Gaudioso, M., Vocaturo, E.: A Multiple instance learning algorithm for color images classification. In: Proceedings of IDEAS 2018, Villa San Giovanni, Italy, pp. 262\u2013266 (2018). \n                      https:\/\/doi.org\/10.1145\/3216122.3216144","DOI":"10.1145\/3216122.3216144"},{"key":"34_CR2","unstructured":"Vocaturo, E., Zumpano, E., Veltri, P.: Image pre-processing in computer vision systems for melanoma detection. In: IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, Madrid, Spain, December 3\u20136 2018, pp. 2117\u20132124 (2018). \n                      http:\/\/doi.ieeecomputersociety.org\/10.1109\/BIBM.2018.8621507"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Astorino, A., Fuduli, A., Veltri, P., Vocaturo, E.: Melanoma detection by means of Multiple Instance Learning. In: Interdisciplinary Sciences: Computational Life Sciences INSC-D-18-00327R1 (2019, submeeted)","DOI":"10.1007\/s12539-019-00341-y"},{"issue":"1","key":"34_CR4","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3322\/caac.21442","volume":"68","author":"RL Siegel","year":"2018","unstructured":"Siegel, R.L., Miller, K.D., Jemal, A.: Cancer statistics. Cancer J. Clin. 68(1), 7\u201330 (2018). \n                      https:\/\/doi.org\/10.3322\/caac.21442","journal-title":"Cancer J. Clin."},{"key":"34_CR5","unstructured":"Gutman, D., et al.: Skin lesion analysis toward melanoma detection: A challenge at the international symposium on biomedical imaging (ISBI) 2016. In: International Skin Imaging Collaboration (ISIC), CoRR, abs\/1605.01397 (2016)"},{"key":"34_CR6","volume-title":"Classification of Skin Tumours through the Analysis of Unconstrained Images","author":"J Mesquita","year":"2008","unstructured":"Mesquita, J., Viana, C.: Classification of Skin Tumours through the Analysis of Unconstrained Images. De Montfort University Leicester, UK (2008)"},{"issue":"4","key":"34_CR7","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1111\/j.1365-2133.2010.10194.x","volume":"164","author":"G Argenziano","year":"2011","unstructured":"Argenziano, G., et al.: Seven-point checklist of dermoscopy revisited. Br. J. Dermatol. 164(4), 785\u2013790 (2011)","journal-title":"Br. J. Dermatol."},{"issue":"8","key":"34_CR8","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1001\/archderm.141.8.1032","volume":"141","author":"D Rigel","year":"2005","unstructured":"Rigel, D., Friedman, R., Kopf, A., Polsky, D.: Abcde an evolving concept in the early detection of melanoma. Arch. Dermat. 141(8), 1032\u20131034 (2005)","journal-title":"Arch. Dermat."},{"issue":"3","key":"34_CR9","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/S0738-081X(02)00236-5","volume":"20","author":"RH Johr","year":"2002","unstructured":"Johr, R.H.: Dermoscopy: alternative melanocytic algorithms; the ABCD rule of dermatoscopy, menzies scoring method, and 7-point checklist. Clin. Dermatol. 20(3), 240\u2013247 (2002)","journal-title":"Clin. Dermatol."},{"key":"34_CR10","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.procs.2017.06.122","volume":"110","author":"P. Iaquinta","year":"2017","unstructured":"Iaquinta, P., et al.: eIMES 3D: an innovative medical images analysis tool to support diagnostic and surgical intervention. In: FNC - MobiSPC 2017, pp. 459\u2013464 (2017)","journal-title":"Procedia Computer Science"},{"issue":"12","key":"34_CR11","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1001\/archderm.135.12.1459","volume":"135","author":"L Andreassi","year":"1999","unstructured":"Andreassi, L., et al.: Digital dermoscopy analysis for the differentiation of atypical nevi and early melanoma: a new quantitative semiology. Arch. Dermatol. 135(12), 1459\u20131465 (1999). PMID\u00a010606050","journal-title":"Arch. Dermatol."},{"issue":"1","key":"34_CR12","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.patcog.2009.05.012","volume":"43","author":"HD Cheng","year":"2010","unstructured":"Cheng, H.D., Shan, J., Ju, W., Guo, Y., Zhang, L.: Automated breast cancer detection and classification using ultrasound images: a survey. Pattern Recogn. 43(1), 299\u2013317 (2010)","journal-title":"Pattern Recogn."},{"key":"34_CR13","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1109\/TUFFC.2006.1588392","volume":"53","author":"O Michailovich","year":"2006","unstructured":"Michailovich, O., Tannenbaum, A.: Despeckling of medical ultrasound images. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 53, 64\u201378 (2006)","journal-title":"IEEE Trans. Ultrason. Ferroelectr. Freq. Control"},{"issue":"4","key":"34_CR14","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.bspc.2011.01.003","volume":"6","author":"Q Abbas","year":"2011","unstructured":"Abbas, Q., Celebi, M.E., Garc\u00eda, I.F.: Hair removal methods: a comparative study for dermoscopy images. Biomed. Signal Process. Control 6(4), 395\u2013404 (2011)","journal-title":"Biomed. Signal Process. Control"},{"key":"34_CR15","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/S0010-4825(97)00020-6","volume":"27","author":"T Lee","year":"1997","unstructured":"Lee, T., Gallagher, R., Coldman, A., McLean, D.: Dull Razor: a software approach to hair removal from images. Comput. Biol. Med. 27, 533\u2013543 (1997)","journal-title":"Comput. Biol. Med."},{"key":"34_CR16","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1109\/RBME.2017.2651164","volume":"10","author":"G Quellec","year":"2017","unstructured":"Quellec, G., Cazuguel, G., Cochener, B., Lamard, M.: Multiple-instance learning for medical image and video analysis. IEEE Rev. Biomed. Eng. 10, 213\u2013234 (2017)","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"34_CR17","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.artint.2013.06.003","volume":"201","author":"J Amores","year":"2013","unstructured":"Amores, J.: Multiple instance classification: review, taxonomy and comparative study. Artif. Intell. 201, 81\u2013105 (2013)","journal-title":"Artif. Intell."},{"key":"34_CR18","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/j.patcog.2017.10.009","volume":"77","author":"M Carbonneau","year":"2018","unstructured":"Carbonneau, M., Cheplygina, V., Granger, E., Gagnon, G.: Multiple instance learning: a survey of problem characteristics and applications. Pattern Recogn. 77, 329\u2013353 (2018)","journal-title":"Pattern Recogn."},{"issue":"9","key":"34_CR19","doi-asserted-by":"publisher","first-page":"2662","DOI":"10.1109\/TNNLS.2018.2885852","volume":"30","author":"Annabella Astorino","year":"2019","unstructured":"Astorino, A., Fuduli, A., Gaudioso, M.: A Lagrangian Relaxation Approach for Binary Multiple Instance Classification. In: IEEE Transactions on Neural Networks and Learning Systems (2019). \n                      https:\/\/doi.org\/10.1109\/tnnls.2018.2885852","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"34_CR20","unstructured":"Mendon\u00e7a, T., et al.: PH2-A dermoscopic image database for research and benchmarking. In: 35th IEEE International Conference on Engineering in Medicine and Biology Society, Osaka, Japan, July 2013, pp. 3\u20137, (2013)"},{"key":"34_CR21","doi-asserted-by":"crossref","unstructured":"Astorino, A., Fuduli, A., Veltri, P., Vocaturo, E.: On a recent algorithm for multiple instance learning. Preliminary applications in image classification. In: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1615\u20131619 (2017)","DOI":"10.1109\/BIBM.2017.8217901"},{"key":"34_CR22","doi-asserted-by":"publisher","unstructured":"Vocaturo, E., Zumpano, E., Veltri, P.: Features for Melanoma Lesions Characterization in Computer Vision Systems. In: 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018, Zakynthos, Greece, 23\u201325 July 2018, pp. 1\u20138 (2018). \n                      https:\/\/doi.org\/10.1109\/IISA.2018.8633651","DOI":"10.1109\/IISA.2018.8633651"},{"key":"34_CR23","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1016\/j.procs.2017.06.132","volume":"110","author":"Eugenio Vocaturo","year":"2017","unstructured":"Vocaturo, E., Veltri, P.: On the use of networks in biomedicine. In: 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017), 24\u201326 July 2017, Leuven, Belgium, pp. 498\u2013503 (2017), ISSN 1877-0509. \n                      https:\/\/doi.org\/10.1016\/j.procs.2017.06.132","journal-title":"Procedia Computer Science"},{"key":"34_CR24","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.ins.2013.12.003","volume":"262","author":"E Masciari","year":"2014","unstructured":"Masciari, E., Mazzeo, G.M., Zaniolo, C.: Analysing microarray expression data through effective clustering. Inf. Sci. 262, 32\u201345 (2014)","journal-title":"Inf. Sci."},{"key":"34_CR25","first-page":"1838","volume":"2018","author":"S Greco","year":"2018","unstructured":"Greco, S., Molinaro, C., Trubitsyna, I.: Computing approximate query answers over inconsistent knowledge bases. IJCAI 2018, 1838\u20131846 (2018)","journal-title":"IJCAI"}],"container-title":["Lecture Notes in Computer Science","Flexible Query Answering Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-27629-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T03:27:52Z","timestamp":1568172472000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-27629-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030276287","9783030276294"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-27629-4_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 September 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FQAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Flexible Query Answering Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amantea","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"17 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fqas2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.fqas2019.units.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}