{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:31:40Z","timestamp":1776094300635,"version":"3.50.1"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319676746","type":"print"},{"value":"9783319676753","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","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":[[2017]]},"DOI":"10.1007\/978-3-319-67675-3_4","type":"book-chapter","created":{"date-parts":[[2017,9,11]],"date-time":"2017-09-11T17:36:30Z","timestamp":1505151390000},"page":"31-41","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Graph Geodesics to Find Progressively Similar Skin Lesion Images"],"prefix":"10.1007","author":[{"given":"Jeremy","family":"Kawahara","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathleen P.","family":"Moriarty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ghassan","family":"Hamarneh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,8]]},"reference":[{"issue":"12","key":"4_CR1","doi-asserted-by":"publisher","first-page":"1563","DOI":"10.1001\/archderm.134.12.1563","volume":"134","author":"G Argenziano","year":"1998","unstructured":"Argenziano, G., Fabbrocini, G., Carli, P., Vincenzo, D.G., Sammarco, E., Delfino, M.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch. Dermatol. 134(12), 1563\u20131570 (1998)","journal-title":"Arch. Dermatol."},{"key":"4_CR2","unstructured":"Argenziano, G., Soyer, H.P., Giorgio, V.D., Piccolo, D., Carli, P., Delfino, M., Ferrari, A., Hofmann-Wellenhof, R., Massi, D., Mazzocchetti, G., Scal-venzi, M., Wolf, I.H.: Interactive atlas of dermoscopy: a tutorial (Book and CD-ROM) (2000)"},{"issue":"9","key":"4_CR3","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1016\/j.patcog.2010.10.024","volume":"44","author":"K Bunte","year":"2011","unstructured":"Bunte, K., Biehl, M., Jonkman, M.F., Petkov, N.: Learning effective color features for content based image retrieval in dermatology. Pattern Recogn. 44(9), 1892\u20131902 (2011)","journal-title":"Pattern Recogn."},{"issue":"1","key":"4_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jaad.2012.03.013","volume":"67","author":"K Duffy","year":"2012","unstructured":"Duffy, K., Grossman, D.: The dysplastic nevus: from historical perspective to management in the modern era: Part I. Historical, histologic, and clinical aspects. J. Am. Acad. Dermatol. 67(1), 1\u201327 (2012)","journal-title":"J. Am. Acad. Dermatol."},{"issue":"7639","key":"4_CR5","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nature21056","volume":"542","author":"A Esteva","year":"2017","unstructured":"Esteva, A., Kuprel, B., Novoa, R.A., Ko, J., Swetter, S.M., Blau, H.M., Thrun, S.: Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639), 115\u2013118 (2017)","journal-title":"Nature"},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1038\/jid.2013.446","volume":"134","author":"RJ Hay","year":"2014","unstructured":"Hay, R.J., Johns, N.E., Williams, H.C., Bolliger, I.W., Dellavalle, R.P., Margolis, D.J., Marks, R., Naldi, L., Weinstock, M.A., Wulf, S.K., Michaud, C., Murray, J.L.C., Naghavi, M.: The global burden of skin disease in 2010: an analysis of the prevalence and impact of skin conditions. J. Invest. Dermatol. 134, 1527\u20131534 (2014)","journal-title":"J. Invest. Dermatol."},{"key":"4_CR7","unstructured":"Hegde, C., Sankaranarayanan, A.C., Baraniuk, R.G.: Learning manifolds in the wild. J. Mach. Learn. Res. 5037 (2012)"},{"key":"4_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/978-3-642-24319-6_22","volume-title":"Machine Learning in Medical Imaging","author":"H Jia","year":"2011","unstructured":"Jia, H., Wu, G., Wang, Q., Wang, Y., Kim, M., Shen, D.: Directed graph based image registration. In: Suzuki, K., Wang, F., Shen, D., Yan, P. (eds.) MLMI 2011. LNCS, vol. 7009, pp. 175\u2013183. Springer, Heidelberg (2011). doi:10.1007\/978-3-642-24319-6_22"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Kawahara, J., BenTaieb, A., Hamarneh, G.: Deep features to classify skin lesions. In: IEEE ISBI, pp. 1397\u20131400 (2016)","DOI":"10.1109\/ISBI.2016.7493528"},{"key":"4_CR10","unstructured":"Kawahara, J., Hamarneh, G.: Image content-based navigation of skin conditions. In: World Congress of Dermatology (2015)"},{"key":"4_CR11","unstructured":"Klingemann, M., Doury, S.: X Degrees of Separation (2016). https:\/\/artsexperiments.withgoogle.com\/xdegrees\/"},{"key":"4_CR12","unstructured":"Kogan, G.: Shortest path between images (2017). https:\/\/github.com\/ml4a\/ml4a-guides\/blob\/master\/notebooks\/image-path.ipynb"},{"issue":"2","key":"4_CR13","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.artmed.2012.08.002","volume":"56","author":"K Korotkov","year":"2012","unstructured":"Korotkov, K., Garcia, R.: Computerized analysis of pigmented skin lesions: a review. Artif. Intell. Med. 56(2), 69\u201390 (2012)","journal-title":"Artif. Intell. Med."},{"issue":"3","key":"4_CR14","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1016\/S0025-6196(11)61033-1","volume":"82","author":"S Markovic","year":"2007","unstructured":"Markovic, S., Erickson, L.A., Rao, R., Creagan, E.T., et al.: Malignant melanoma in the 21st century, Part 1: epidemiology, risk factors, screening, prevention, and diagnosis. Mayo Clin. Proc. 82(3), 364\u2013380 (2007)","journal-title":"Mayo Clin. Proc."},{"issue":"3","key":"4_CR15","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vision (IJCV) 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vision (IJCV)"},{"key":"4_CR16","doi-asserted-by":"publisher","first-page":"1044","DOI":"10.1111\/j.1365-2133.2011.10464.x","volume":"165","author":"JK Schofield","year":"2011","unstructured":"Schofield, J.K., Fleming, D., Grindlay, D., Williams, H.: Skin conditions are the commonest new reason people present to general practitioners in England and Wales. Br. J. Dermatol. 165, 1044\u20131050 (2011)","journal-title":"Br. J. Dermatol."},{"key":"4_CR17","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: International Conference on Learning Representations Learning Representations (ICLR) (2015)"}],"container-title":["Lecture Notes in Computer Science","Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-67675-3_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:17:34Z","timestamp":1709831854000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-67675-3_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319676746","9783319676753"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-67675-3_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"8 September 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"GRAIL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Graphs in Biomedical Image Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qu\u00e9bec City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"grail2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/biomedic.doc.ic.ac.uk\/miccai17-grail\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}