{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T13:57:45Z","timestamp":1790171865008,"version":"4.1.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2015,5,19]],"date-time":"2015-05-19T00:00:00Z","timestamp":1431993600000},"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":["SIViP"],"published-print":{"date-parts":[[2016,3]]},"DOI":"10.1007\/s11760-015-0779-z","type":"journal-article","created":{"date-parts":[[2015,5,18]],"date-time":"2015-05-18T11:16:07Z","timestamp":1431947767000},"page":"455-462","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Identification of precancerous lesions by multispectral gastroendoscopy"],"prefix":"10.1007","volume":"10","author":[{"given":"Sergio E.","family":"Martinez-Herrera","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yannick","family":"Benezeth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthieu","family":"Boffety","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Fran\u00e7ois","family":"Emile","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Franck","family":"Marzani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominique","family":"Lamarque","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fran\u00e7ois","family":"Goudail","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,5,19]]},"reference":[{"key":"779_CR1","doi-asserted-by":"crossref","unstructured":"Akturk, O., Ulusoy, C.: Prognosis in the cancer of the stomach. In: D. Lazar (ed.) Gastric Carcinoma\u2014New Insights into Current Management, pp. 260\u2013262. InTech, Rijeka, Croatia (2013)","DOI":"10.5772\/52655"},{"key":"779_CR2","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511804779","volume-title":"Bayesian Reasoning and Machine Learning","author":"D Barber","year":"2012","unstructured":"Barber, D.: Bayesian Reasoning and Machine Learning. Cambridge University Press, Cambridge (2012)"},{"key":"779_CR3","doi-asserted-by":"crossref","unstructured":"Bergen, J., Anandan, P., Hanna, K., Hingorani, R.: Hierarchical model-based motion estimation. In: Sandini, G. (ed.) Computer Vision ECCV\u201992. Lecture Notes in Computer Science, vol. 588, pp. 237\u2013252. Springer, Berlin (1992)","DOI":"10.1007\/3-540-55426-2_27"},{"key":"779_CR4","first-page":"1577","volume-title":"Encyclopedia of Optical Engineering","author":"IJ Bigio","year":"2003","unstructured":"Bigio, I.J., Mourant, J.R.: Optical biopsy. In: Driggers, R. (ed.) Encyclopedia of Optical Engineering, pp. 1577\u20131593. Marcel Dekker, New York (2003)"},{"key":"779_CR5","doi-asserted-by":"crossref","unstructured":"Borisova, E., Vladimirov, B., Ivanova, R., Avramov, L.: Light-induced fluorescence techniques for gastrointestinal tumour detection. In: O. Pascu, A. Seicean (eds.) New Techniques in Gastrointestinal Endoscopy, pp. 231\u2013252. InTech, Rijeka, Croatia (2011)","DOI":"10.5772\/22689"},{"key":"779_CR6","first-page":"156","volume-title":"Successful Training in Gastrointestinal Endoscopy","author":"AM Buchner","year":"2011","unstructured":"Buchner, A.M., Sharma, P., Wallace, M.B.: Contrast enhanced endoscopy chromo and optical contrast techniques. In: Cohen, J. (ed.) Successful Training in Gastrointestinal Endoscopy, pp. 156\u2013169. Blackwell, Oxford (2011)"},{"issue":"1","key":"779_CR7","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1111\/j.1751-2980.2011.00550.x","volume":"13","author":"P Correa","year":"2012","unstructured":"Correa, P., Piazuelo, M.B.: The gastric precancerous cascade. J. Dig. Dis. 13(1), 2\u20139 (2012)","journal-title":"J. Dig. Dis."},{"key":"779_CR8","doi-asserted-by":"crossref","unstructured":"Dietterich, T.: Ensemble methods in machine learning. In: Multiple Classifier Systems, Lecture Notes in Computer Science, vol. 1857, pp. 1\u201315. Springer, Berlin (2000)","DOI":"10.1007\/3-540-45014-9_1"},{"issue":"8","key":"779_CR9","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1117\/1.1766301","volume":"43","author":"Y Du","year":"2004","unstructured":"Du, Y., Chang, C.I., Ren, H., Chang, C.C., Jensen, J.O., DAmico, F.M.: New hyperspectral discrimination measure for spectral characterization. Opt. Eng. 43(8), 1777\u20131786 (2004)","journal-title":"Opt. Eng."},{"key":"779_CR10","unstructured":"Ferlay, J., Soerjomataram, I., Ervik, M., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D., Forman, D., Bray, F.: GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 11. Lyon, France: International Agency for Research on Cancer (2013). http:\/\/globocan.iarc.fr"},{"issue":"10","key":"779_CR11","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1093\/bioinformatics\/16.10.906","volume":"16","author":"TS Furey","year":"2000","unstructured":"Furey, T.S., Cristianini, N., Duffy, N., Bednarski, D.W., Schummer, M., Haussler, D.: Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16(10), 906\u2013914 (2000)","journal-title":"Bioinformatics"},{"key":"779_CR12","doi-asserted-by":"crossref","unstructured":"Galeano, J., Jolivot, R., Benezeth, Y., Marzani, F., Emile, J., Lamarque, D.: Analysis of multispectral images of excised colon tissue samples based on genetic algorithms. In: Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS), 2012, pp. 833\u2013838 (2012)","DOI":"10.1109\/SITIS.2012.125"},{"issue":"6","key":"779_CR13","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1366\/0003702981944571","volume":"52","author":"Z Ge","year":"1998","unstructured":"Ge, Z., Schomacker, K.T., Nishioka, N.S.: Identification of colonic dysplasia and neoplasia by diffuse reflectance spectroscopy and pattern recognition techniques. Appl. Spectrosc. 52(6), 833\u2013839 (1998)","journal-title":"Appl. Spectrosc."},{"key":"779_CR14","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"89","key":"779_CR15","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/S0893-6080(02)00079-5","volume":"15","author":"B Hammer","year":"2002","unstructured":"Hammer, B., Villmann, T.: Generalized relevance learning vector quantization. Neural Netw. 15(89), 1059\u20131068 (2002)","journal-title":"Neural Netw."},{"key":"779_CR16","doi-asserted-by":"crossref","unstructured":"Hegenbart, S., Uhl, A., Wimmer, G., Vecsei, A.: On the effects of de-interlacing on the classification accuracy of interlaced endoscopic videos with indication for celiac disease. In: IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), 2013, pp. 137\u2013142 (2013)","DOI":"10.1109\/CBMS.2013.6627778"},{"issue":"2","key":"779_CR17","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/34.574797","volume":"19","author":"A Jain","year":"1997","unstructured":"Jain, A., Zongker, D.: Feature selection: evaluation, application, and small sample performance. IEEE Trans. Pattern Anal. Mach. Intell. 19(2), 153\u2013158 (1997)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"779_CR18","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.compmedimag.2010.07.001","volume":"35","author":"R Jolivot","year":"2011","unstructured":"Jolivot, R., Vabres, P., Marzani, F.: Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system. Comput. Med. Imaging Graph. 35(2), 85\u201388 (2011)","journal-title":"Comput. Med. Imaging Graph."},{"key":"779_CR19","volume-title":"The Biology of Cancer: Stages of Cancer Development","author":"P Kenny","year":"2007","unstructured":"Kenny, P.: The Biology of Cancer: Stages of Cancer Development. Chelsea House, New York (2007)"},{"issue":"7","key":"779_CR20","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1055\/s-2003-40228","volume":"35","author":"M Kida","year":"2003","unstructured":"Kida, M., Kobayashi, K., Saigenji, K.: Routine chromoendoscopy for gastrointestinal diseases: indications revised. Endoscopy 35(7), 590\u2013596 (2003)","journal-title":"Endoscopy"},{"issue":"2","key":"779_CR21","doi-asserted-by":"crossref","first-page":"26010","DOI":"10.1117\/1.JBO.18.2.026010","volume":"18","author":"S Kiyotoki","year":"2013","unstructured":"Kiyotoki, S., Nishikawa, J., Okamoto, T., Hamabe, K., Saito, M., Goto, A., Fujita, Y., Hamamoto, Y., Takeuchi, Y., Satori, S., Sakaida, I.: New method for detection of gastric cancer by hyperspectral imaging: a pilot study. J. Biomed. Opt. 18(2), 26010 (2013)","journal-title":"J. Biomed. Opt."},{"issue":"1","key":"779_CR22","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.patrec.2012.07.020","volume":"34","author":"R Leitner","year":"2013","unstructured":"Leitner, R., Biasio, M.D., Arnold, T., Dinh, C.V., Loog, M., Duin, R.P.: Multi-spectral video endoscopy system for the detection of cancerous tissue. Pattern Recognit. Lett. 34(1), 85\u201393 (2013)","journal-title":"Pattern Recognit. Lett."},{"key":"779_CR23","doi-asserted-by":"crossref","unstructured":"Manolakis, D., Lockwood, R., Cooley, T., Jacobson, J.: Is there a best hyperspectral detection algorithm? In: Proceedings of SPIE Algorithms and Technologies for Multispectral, Hyperspectral and ultraspectral Imagery XV 7334, pp. 733402\u2013733416 (2009)","DOI":"10.1117\/2.1200906.1560"},{"issue":"6","key":"779_CR24","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1007\/s10439-006-9121-9","volume":"34","author":"M Martin","year":"2006","unstructured":"Martin, M., Wabuyele, M., Chen, K., Kasili, P., Panjehpour, M., Phan, M., Overholt, B., Cunningham, G., Wilson, D., DeNovo, R., Vo-Dinh, T.: Development of an advanced hyperspectral imaging (HSI) system with applications for cancer detection. Ann. Biomed. Eng. 34(6), 1061\u20131068 (2006)","journal-title":"Ann. Biomed. Eng."},{"issue":"3","key":"779_CR25","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1109\/TGRS.2008.2011280","volume":"47","author":"A Mukherjee","year":"2009","unstructured":"Mukherjee, A., Velez-Reyes, M., Roysam, B.: Interest points for hyperspectral image data. IEEE Trans. Geosci. Remote Sens. 47(3), 748\u2013760 (2009)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"10","key":"779_CR26","doi-asserted-by":"crossref","first-page":"2942","DOI":"10.1162\/neco.2009.10-08-892","volume":"21","author":"P Schneider","year":"2009","unstructured":"Schneider, P., Biehl, M., Hammer, B.: Distance learning in discriminative vector quantization. Neural Comput. 21(10), 2942\u20132969 (2009)","journal-title":"Neural Comput."},{"issue":"4","key":"779_CR27","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/j.gie.2008.01.013","volume":"67","author":"LMWK Song","year":"2008","unstructured":"Song, L.M.W.K., Adler, D.G., Conway, J.D., Diehl, D.L., Farraye, F.A., Kantsevoy, S.V., Kwon, R., Mamula, P., Rodriguez, B., Shah, R.J., Tierney, W.M.: Narrow band imaging and multiband imaging. Gastrointest. Endosc. 67(4), 581\u2013589 (2008)","journal-title":"Gastrointest. Endosc."},{"issue":"8","key":"779_CR28","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.1088\/0031-9155\/50\/8\/004","volume":"50","author":"S Tomatis","year":"2005","unstructured":"Tomatis, S., Carrara, M., Bono, A., Bartoli, C., Lualdi, M., Tragni, G., Colombo, A., Marchesini, R.: Automated melanoma detection with a novel multispectral imaging system: results of a prospective study. Phys. Med. Biol. 50(8), 1675 (2005)","journal-title":"Phys. Med. Biol."},{"issue":"10","key":"779_CR29","doi-asserted-by":"crossref","first-page":"2840","DOI":"10.1016\/j.patcog.2013.03.007","volume":"46","author":"JJY Wang","year":"2013","unstructured":"Wang, J.J.Y., Bensmail, H., Gao, X.: Multiple graph regularized nonnegative matrix factorization. Pattern Recognit. 46(10), 2840\u20132847 (2013)","journal-title":"Pattern Recognit."},{"key":"779_CR30","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.neunet.2013.11.009","volume":"51","author":"JJY Wang","year":"2014","unstructured":"Wang, J.J.Y., Bensmail, H., Gao, X.: Feature selection and multi-kernel learning for sparse representation on a manifold. Neural Netw. 51, 9\u201316 (2014)","journal-title":"Neural Netw."},{"issue":"6","key":"779_CR31","doi-asserted-by":"crossref","first-page":"3003","DOI":"10.1214\/12-AOS1063","volume":"40","author":"G Xu","year":"2012","unstructured":"Xu, G., Hua, J.Z.: Asymptotic optimality and efficient computation of the leave-subject-out cross-validation. Ann. Stat. 40(6), 3003\u20133030 (2012)","journal-title":"Ann. Stat."},{"key":"779_CR32","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1016\/B978-0-12-336156-1.50061-6","volume-title":"Graphic Gems IV","author":"K Zuiderveld","year":"1994","unstructured":"Zuiderveld, K.: Contrast limited adaptive histograph equalization. In: Heckbert, P.S. (ed.) Graphic Gems IV, pp. 474\u2013485. Academic press, San Diego (1994)"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-015-0779-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-015-0779-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-015-0779-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T17:19:40Z","timestamp":1691687980000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-015-0779-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,19]]},"references-count":32,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2016,3]]}},"alternative-id":["779"],"URL":"https:\/\/doi.org\/10.1007\/s11760-015-0779-z","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5,19]]}}}