{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:12:21Z","timestamp":1743135141422,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030339036"},{"type":"electronic","value":"9783030339043"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-33904-3_24","type":"book-chapter","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T22:40:05Z","timestamp":1572043205000},"page":"262-271","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images"],"prefix":"10.1007","author":[{"given":"Alessandro S.","family":"Martins","sequence":"first","affiliation":[]},{"given":"Leandro A.","family":"Neves","sequence":"additional","affiliation":[]},{"given":"Paulo R.","family":"Faria","sequence":"additional","affiliation":[]},{"given":"Tha\u00edna A. A.","family":"Tosta","sequence":"additional","affiliation":[]},{"given":"Daniel O. T.","family":"Bruno","sequence":"additional","affiliation":[]},{"given":"Leonardo C.","family":"Longo","sequence":"additional","affiliation":[]},{"given":"Marcelo Zanchetta","family":"do Nascimento","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"issue":"7","key":"24_CR1","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"AP Bradley","year":"1997","unstructured":"Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recogn. 30(7), 1145\u20131159 (1997)","journal-title":"Pattern Recogn."},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Codella, N., Moradi, M., Matasar, M., Sveda-Mahmood, T., Smith, J.R.: Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. In: Medical Imaging 2016: Digital Pathology, vol. 9791, p. 97910H. International Society for Optics and Photonics (2016)","DOI":"10.1117\/12.2217158"},{"key":"24_CR3","volume-title":"Pattern Classification","author":"RO Duda","year":"2012","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley, Hoboken (2012)"},{"issue":"4","key":"24_CR4","first-page":"7","volume":"6","author":"M Ivanovici","year":"2009","unstructured":"Ivanovici, M., Richard, N., Decean, H.: Fractal dimension and lacunarity of psoriatic lesions-a colour approach. Medicine 6(4), 7 (2009)","journal-title":"Medicine"},{"issue":"1","key":"24_CR5","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/1742-4682-11-9","volume":"11","author":"K Kuru","year":"2014","unstructured":"Kuru, K.: Optimization and enhancement of H&E stained microscopical images by applying bilinear interpolation method on lab color mode. Theor. Biol. Med. Model. 11(1), 9 (2014)","journal-title":"Theor. Biol. Med. Model."},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Lowry, L., Linch, D.: Non-Hodgkin\u2019s lymphoma (2013)","DOI":"10.1016\/j.mpmed.2013.03.008"},{"key":"24_CR7","unstructured":"Mauri\u00f1o, B.B., Siqueira, S.A.C.: Classifica\u00e7\u00e3o dos Linfomas (2011)"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Meng, T., Lin, L., Shyu, M.L., Chen, S.C.: Histology image classification using supervised classification and multimodal fusion. In: 2010 IEEE International Symposium on Multimedia (ISM), pp. 145\u2013152. IEEE (2010)","DOI":"10.1109\/ISM.2010.29"},{"key":"24_CR9","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1016\/j.patcog.2016.07.004","volume":"60","author":"VH Moghaddam","year":"2016","unstructured":"Moghaddam, V.H., Hamidzadeh, J.: New hermite orthogonal polynomial kernel and combined kernels in support vector machine classifier. Pattern Recogn. 60, 921\u2013935 (2016)","journal-title":"Pattern Recogn."},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"do Nascimento, M.Z., Neves, L., Duarte, S.C., Duarte, Y.A.S., Batista, V.R.: Classification of histological images based on the stationary wavelet transform. In: Journal of Physics: Conference Series. vol. 574, p. 012133. IOP Publishing (2015)","DOI":"10.1088\/1742-6596\/574\/1\/012133"},{"key":"24_CR11","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.ijleo.2018.02.066","volume":"162","author":"SR Nayak","year":"2018","unstructured":"Nayak, S.R., Mishra, J., Khandual, A., Palai, G.: Fractal dimension of RGB color images. Optik 162, 196\u2013205 (2018)","journal-title":"Optik"},{"issue":"11","key":"24_CR12","doi-asserted-by":"publisher","first-page":"5017","DOI":"10.1016\/j.eswa.2014.02.048","volume":"41","author":"LA Neves","year":"2014","unstructured":"Neves, L.A., et al.: Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer. Expert Syst. Appl. 41(11), 5017\u20135029 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"24_CR13","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1109\/TITB.2010.2050695","volume":"14","author":"NV Orlov","year":"2010","unstructured":"Orlov, N.V., et al.: Automatic classification of lymphoma images with transform-based global features. IEEE Trans. Inf. Technol. Biomed. 14(4), 1003\u20131013 (2010)","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"24_CR14","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.patcog.2018.07.010","volume":"84","author":"LC Padierna","year":"2018","unstructured":"Padierna, L.C., Carpio, M., Rojas-Dom\u00ednguez, A., Puga, H., Fraire, H.: A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: the Gegenbauer family. Pattern Recogn. 84, 211\u2013225 (2018)","journal-title":"Pattern Recogn."},{"issue":"Suppl. C","key":"24_CR15","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.compbiomed.2017.10.012","volume":"91","author":"GF Roberto","year":"2017","unstructured":"Roberto, G.F., et al.: Features based on the percolation theory for quantification of non-hodgkin lymphomas. Comput. Biol. Med. 91(Suppl. C), 135\u2013147 (2017)","journal-title":"Comput. Biol. Med."},{"issue":"9","key":"24_CR16","doi-asserted-by":"publisher","first-page":"943","DOI":"10.1007\/s11517-008-0380-5","volume":"46","author":"L Shamir","year":"2008","unstructured":"Shamir, L., Orlov, N., Eckley, D.M., Macura, T.J., Goldberg, I.G.: Iicbu 2008: a proposed benchmark suite for biological image analysis. Med. Biol. Eng. Comput. 46(9), 943\u2013947 (2008)","journal-title":"Med. Biol. Eng. Comput."},{"issue":"8","key":"24_CR17","doi-asserted-by":"publisher","first-page":"1636","DOI":"10.1109\/TMI.2017.2687466","volume":"36","author":"Y Song","year":"2017","unstructured":"Song, Y., Li, Q., Huang, H., Feng, D., Chen, M., Cai, W.: Low dimensional representation of fisher vectors for microscopy image classification. IEEE Trans. Med. Imaging 36(8), 1636\u20131649 (2017)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"24_CR18","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1186\/s12859-016-1318-9","volume":"17","author":"Y Song","year":"2016","unstructured":"Song, Y., Cai, W., Huang, H., Feng, D., Wang, Y., Chen, M.: Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors. BMC Bioinform. 17(1), 465 (2016)","journal-title":"BMC Bioinform."},{"issue":"4","key":"24_CR19","doi-asserted-by":"publisher","first-page":"745","DOI":"10.3390\/e10040745","volume":"10","author":"J Sorensen","year":"2008","unstructured":"Sorensen, J.: An assessment of hermite function based approximations of mutual information applied to independent component analysis. Entropy 10(4), 745\u2013756 (2008)","journal-title":"Entropy"},{"key":"24_CR20","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.asoc.2017.11.039","volume":"64","author":"TAA Tosta","year":"2018","unstructured":"Tosta, T.A.A., de Faria, P.R., Batista, V.R., Neves, L.A., Nascimento, M.Z.: Using wavelet sub-band and fuzzy 2-partition entropy to segment chronic lymphocytic leukemia images. Appl. Soft Comput. 64, 49\u201358 (2018)","journal-title":"Appl. Soft Comput."},{"key":"24_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-1-4757-1402-9_1","volume-title":"Scaling phenomena in disordered systems","author":"RF Voss","year":"1991","unstructured":"Voss, R.F.: Random fractals: characterization and measurement. In: Pynn, R., Skjeltorp, A. (eds.) Scaling phenomena in disordered systems, pp. 1\u201311. Springer, Boston (1991). https:\/\/doi.org\/10.1007\/978-1-4757-1402-9_1"}],"container-title":["Lecture Notes in Computer Science","Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33904-3_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T14:08:09Z","timestamp":1710252489000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33904-3_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030339036","9783030339043"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33904-3_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CIARP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Congress on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Havana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuba","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":"28 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ciarp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ciarp.uci.cu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"128","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":"70","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":"55% - 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","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":"3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}