{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T10:30:35Z","timestamp":1772101835576,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030588076","type":"print"},{"value":"9783030588083","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-58808-3_45","type":"book-chapter","created":{"date-parts":[[2020,9,28]],"date-time":"2020-09-28T09:03:00Z","timestamp":1601283780000},"page":"620-631","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Clustering Approach for Prediction of Diabetic Foot Using Thermal Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3747-6577","authenticated-orcid":false,"given":"V\u00edtor","family":"Filipe","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9955-1977","authenticated-orcid":false,"given":"Pedro","family":"Teixeira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5817-3818","authenticated-orcid":false,"given":"Ana","family":"Teixeira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"45_CR1","unstructured":"Brison, D.W.: Definition, diagnosis, and classification. In: Baumeister, A.A., (ed.) Menial Retardation, pp. 1\u201319 (2017). Amelior. Ment. Disabil. Quest. Retard"},{"key":"45_CR2","unstructured":"Clark, Jr., C.M., Lee, D.A.: Prevention and treatment of the complications of diabetes mellitus. New Engl. J. Med. 332(18), 1210\u20131217 (1995)"},{"key":"45_CR3","unstructured":"S. Edition, \u201cIDF Diabetes Atlas,\u201d Int. Diabetes Fed (2015)"},{"key":"45_CR4","unstructured":"Diabetes. https:\/\/www.who.int\/en\/news-room\/fact-sheets\/detail\/diabetes. Accessed 04 May 2020"},{"key":"45_CR5","doi-asserted-by":"crossref","unstructured":"Apelqvist, J., Larsson, J.: What is the most effective way to reduce incidence of amputation in the diabetic foot? Diab. Metab. Res. Rev. 16(SUPPL. 1), S75\u2013S83 (2000)","DOI":"10.1002\/1520-7560(200009\/10)16:1+<::AID-DMRR139>3.0.CO;2-8"},{"key":"45_CR6","doi-asserted-by":"crossref","unstructured":"Leung, P.: Diabetic foot ulcers - a comprehensive review. Surgeon 5, 219\u2013231 (2007)","DOI":"10.1016\/S1479-666X(07)80007-2"},{"key":"45_CR7","unstructured":"Glaudemans, A.W.J.M., U\u00e7kay, I., Lipsky, B.A.: Challenges in diagnosing infection in the diabetic foot. Diab. Med. 32(6), 748\u2013759 (2015)"},{"key":"45_CR8","doi-asserted-by":"crossref","unstructured":"Frykberg, R.G., et al.: Diabetic foot disorders: a clinical practice guideline (2006 revision). J. Foot Ankle Surg. 45(5 SUPPL), S1\u2013S66 (2006)","DOI":"10.1016\/S1067-2516(07)60001-5"},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"Ring, F.: The Herschel heritage to medical thermography. J. Imaging 2(2), 13 (2016)","DOI":"10.3390\/jimaging2020013"},{"key":"45_CR10","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.infrared.2016.07.013","volume":"78","author":"D Hernandez-Contreras","year":"2016","unstructured":"Hernandez-Contreras, D., Peregrina-Barreto, H., Rangel-Magdaleno, J., Gonzalez-Bernal, J.: Narrative review: Diabetic foot and infrared thermography. Infrared Phys. Technol. 78, 105\u2013117 (2016)","journal-title":"Infrared Phys. Technol."},{"key":"45_CR11","doi-asserted-by":"crossref","unstructured":"Pereira, C.B., Yu, X., Dahlmanns, S., Blazek, V., Leonhardt, S., Teichmann, D.: InfrCHed thermography. In: Multi-Modality Imaging: Applications and Computational Techniques, pp. 1\u201330. Springer International Publishing (2018)","DOI":"10.1007\/978-3-319-98974-7_1"},{"key":"45_CR12","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.infrared.2017.01.010","volume":"81","author":"D Hernandez-Contreras","year":"2017","unstructured":"Hernandez-Contreras, D., Peregrina-Barreto, H., Rangel-Magdaleno, J., Gonzalez-Bernal, J.A., Altamirano-Robles, L.: A quantitative index for classification of plantar thermal changes in the diabetic foot. Infrared Phys. Technol. 81, 242\u2013249 (2017)","journal-title":"Infrared Phys. Technol."},{"issue":"7","key":"45_CR13","doi-asserted-by":"crossref","first-page":"860","DOI":"10.1016\/j.bjps.2010.12.003","volume":"64","author":"T Nagase","year":"2011","unstructured":"Nagase, T., et al.: Variations of plantar thermographic patterns in normal controls and non-ulcer diabetic patients: Novel classification using angiosome concept. J. Plast. Reconstr. Aesthetic Surg. 64(7), 860\u2013866 (2011)","journal-title":"J. Plast. Reconstr. Aesthetic Surg."},{"issue":"5","key":"45_CR14","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1177\/193229681300700502","volume":"7","author":"T Mori","year":"2013","unstructured":"Mori, T., et al.: Morphological pattern classification system for plantar thermography of patients with diabetes. J. Diab. Sci. Technol. 7(5), 1102\u20131112 (2013)","journal-title":"J. Diab. Sci. Technol."},{"key":"45_CR15","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/j.compbiomed.2017.10.030","volume":"91","author":"M Adam","year":"2017","unstructured":"Adam, M., Ng, E.Y.K., Tan, J.H., Heng, M.L., Tong, J.W.K., Acharya, U.R.: Computer aided diagnosis of diabetic foot using infrared thermography: a review. Comput. Biol. Med. 91, 326\u2013336 (2017)","journal-title":"Comput. Biol. Med."},{"key":"45_CR16","doi-asserted-by":"crossref","unstructured":"Madhava Prabhu, S., Verma, S.: A systematic literature review for early detection of type II diabetes. In: 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, pp. 220\u2013224 (2019)","DOI":"10.1109\/ICACCS.2019.8728377"},{"issue":"5","key":"45_CR17","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1177\/193229681300700505","volume":"7","author":"LF Balbinot","year":"2013","unstructured":"Balbinot, L.F., Robinson, C.C., Achaval, M., Zaro, M.A., Brioschi, M.L.: Repeatability of infrared plantar thermography in diabetes patients: a pilot study. J. Diab. Sci. Technol. 7(5), 1130\u20131137 (2013)","journal-title":"J. Diab. Sci. Technol."},{"key":"45_CR18","doi-asserted-by":"crossref","unstructured":"Agurto, C., Barriga, S., Burge, M., Soliz, P.: Characterization of diabetic peripheral neuropathy in infrared video sequences using independent component analysis. In: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), vol. 2015, pp. 1\u20136 (2015)","DOI":"10.1109\/MLSP.2015.7324362"},{"key":"45_CR19","doi-asserted-by":"crossref","unstructured":"Kaabouch, N., Chen, Y., Anderson, J., Ames, F., Paulson, R.: Asymmetry analysis based on genetic algorithms for the prediction of foot ulcers. Vis. Data Anal. 7243, 724304 (2009)","DOI":"10.1117\/12.805975"},{"key":"45_CR20","doi-asserted-by":"crossref","unstructured":"Liu, C., Van Baal, J.G., Bus, S.A.: Automatic detection of diabetic foot complications with infrared thermography by asymmetric analysis with infrared thermography by asymmetric analysis. J. Biomed. Opt. 20(2), 026003 (2015)","DOI":"10.1117\/1.JBO.20.2.026003"},{"key":"45_CR21","doi-asserted-by":"crossref","unstructured":"Hernandez-Contreras, D.A., Peregrina-Barreto, H., De Jesus Rangel-Magdaleno, J., Orihuela-Espina, F.: Statistical approximation of plantar temperature distribution on diabetic subjects based on beta mixture model. IEEE Access 7, 28383\u201328391 (2019)","DOI":"10.1109\/ACCESS.2019.2902502"},{"key":"45_CR22","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.infrared.2015.09.022","volume":"73","author":"D Hernandez-Contreras","year":"2015","unstructured":"Hernandez-Contreras, D., Peregrina-Barreto, H., Rangel-Magdaleno, J., Ramirez-Cortes, J., Renero-Carrillo, F.: Automatic classification of thermal patterns in diabetic foot based on morphological pattern spectrum. Infrared Phys. Technol. 73, 149\u2013157 (2015)","journal-title":"Infrared Phys. Technol."},{"key":"45_CR23","doi-asserted-by":"crossref","first-page":"161296","DOI":"10.1109\/ACCESS.2019.2951356","volume":"7","author":"DA Hernandez-Contreras","year":"2019","unstructured":"Hernandez-Contreras, D.A., Peregrina-Barreto, H., Rangel-Magdaleno, J.D.J., Renero-Carrillo, F.J.: Plantar thermogram database for the study of diabetic foot complications. IEEE Access 7, 161296\u2013161307 (2019)","journal-title":"IEEE Access"},{"issue":"1","key":"45_CR24","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1088\/1361-6579\/38\/1\/33","volume":"38","author":"A Macdonald","year":"2017","unstructured":"Macdonald, A., et al.: Thermal symmetry of healthy feet: a precursor to a thermal study of diabetic feet prior to skin breakdown. Physiol. Meas. 38(1), 33\u201344 (2017)","journal-title":"Physiol. Meas."},{"key":"45_CR25","doi-asserted-by":"crossref","unstructured":"Macdonald, A., et al.: Between visit variability of thermal imaging of feet in people attending podiatric clinics with diabetic neuropathy at high risk of developing foot ulcers. Physiol. Meas. 40(8), 084004. (2019)","DOI":"10.1088\/1361-6579\/ab36d7"},{"key":"45_CR26","doi-asserted-by":"crossref","unstructured":"Peregrina-Barreto, H., Morales-Hernandez, L.A., Rangel-Magdaleno, J.J., Avina-Cervantes, J.G., Ramirez-Cortes, J.M., Morales-Caporal, R.: Quantitative estimation of temperature variations in plantar angiosomes: A study case for diabetic foot. In: Computational and Mathematical Methods in Medicine (2014)","DOI":"10.1155\/2014\/585306"},{"key":"45_CR27","doi-asserted-by":"crossref","unstructured":"Peregrina-Barreto, H., Morales-Hernandez, L.A., Rangel-Magdaleno, J.J., Vazquez-Rodriguez, P.D.: Thermal image processing for quantitative determination of temperature variations in plantar angiosomes. In: 2013 IEEE International Instrumentation and Measurement Technology Conference, pp. 816\u2013820 (2013)","DOI":"10.1109\/I2MTC.2013.6555528"},{"issue":"6","key":"45_CR28","doi-asserted-by":"crossref","first-page":"583","DOI":"10.3233\/IDA-2007-11602","volume":"11","author":"MGH Omran","year":"2007","unstructured":"Omran, M.G.H., Engelbrecht, A.P., Salman, A.: An overview of clustering methods. Intell. Data Anal. 11(6), 583\u2013605 (2007)","journal-title":"Intell. Data Anal."},{"key":"45_CR29","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1016\/j.procs.2015.06.090","volume":"54","author":"N Dhanachandra","year":"2015","unstructured":"Dhanachandra, N., Manglem, K., Chanu, Y.J.: Image segmentation using k-means clustering algorithm and subtractive clustering algorithm. Procedia Comput. Sci. 54, 764\u2013771 (2015)","journal-title":"Procedia Comput. Sci."},{"issue":"2","key":"45_CR30","first-page":"627","volume":"4","author":"K Hajian-Tilaki","year":"2013","unstructured":"Hajian-Tilaki, K.: Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation. Casp. J. Int. Med. 4(2), 627\u2013635 (2013)","journal-title":"Casp. J. Int. Med."},{"key":"45_CR31","doi-asserted-by":"crossref","unstructured":"Taha, A.A., Hanbury, A.: Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Med. Imaging 15(1), 29 (2015)","DOI":"10.1186\/s12880-015-0068-x"},{"key":"45_CR32","doi-asserted-by":"crossref","unstructured":"Unal, I.: Defining an optimal cut-point value in ROC analysis: an alternative approach. In: Computational and Mathematical Methods in Medicine, vol. 2017 (2017)","DOI":"10.1155\/2017\/3762651"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58808-3_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T11:50:49Z","timestamp":1619178649000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58808-3_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030588076","9783030588083"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58808-3_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","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":"Cyber chair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1450","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":"466","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":"32","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":"32% - 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":"2.5","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":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","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)"}},{"value":"Conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}