{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:00:07Z","timestamp":1743022807309,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"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_32","type":"book-chapter","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T22:40:05Z","timestamp":1572043205000},"page":"346-356","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Identification of Breast Cancer Using Digitized Mammogram Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6186-2008","authenticated-orcid":false,"given":"Bryan","family":"Chachalo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5943-7720","authenticated-orcid":false,"given":"Erik","family":"Solis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8253-9979","authenticated-orcid":false,"given":"Eddy","family":"Andrade","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0191-3325","authenticated-orcid":false,"given":"Santiago","family":"Pozo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0476-6973","authenticated-orcid":false,"given":"Robinson","family":"Guachi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4210-1363","authenticated-orcid":false,"given":"Saravana Prakash","family":"Thirumuruganandham","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8951-8150","authenticated-orcid":false,"given":"Lorena","family":"Guachi-Guachi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"key":"32_CR1","unstructured":"World Health Organization Homepage. https:\/\/www.who.int\/cancer\/detection\/breastcancer\/en\/index1.html. Accessed 28 May 2019"},{"issue":"5","key":"32_CR2","doi-asserted-by":"publisher","first-page":"836","DOI":"10.14733\/cadaps.2019.836-845","volume":"16","author":"L Guachi","year":"2019","unstructured":"Guachi, L.: Automatic colorectal segmentation with convolutional neural network. Comput.-Aided Des. Appl. 16(5), 836\u2013845 (2019)","journal-title":"Comput.-Aided Des. Appl."},{"key":"32_CR3","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1007\/978-3-030-02828-2_13","volume-title":"Information and Communication Technologies of Ecuador (TIC.EC)","author":"G Lorena","year":"2019","unstructured":"Lorena, G., Robinson, G., Stefania, P., Pasquale, C., Fabiano, B., Franco, M.: Automatic microstructural classification with convolutional neural network. In: Botto-Tobar, M., Barba-Maggi, L., Gonz\u00e1lez-Huerta, J., Villacr\u00e9s-Cevallos, P., S. G\u00f3mez, O., Uvidia-Fassler, M.I. (eds.) TICEC 2018. AISC, vol. 884, pp. 170\u2013181. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-02828-2_13"},{"issue":"3","key":"32_CR4","first-page":"0975","volume":"144","author":"A Makandar","year":"2016","unstructured":"Makandar, A.: Pre-processing of mammography image for early detection of breast cancer. Int. J. Comput. Appl. 144(3), 0975\u20138887 (2016)","journal-title":"Int. J. Comput. Appl."},{"key":"32_CR5","series-title":"Smart Innovation, Systems and Technologies","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1007\/978-981-13-1921-1_67","volume-title":"Smart Intelligent Computing and Applications","author":"V Muneeswaran","year":"2019","unstructured":"Muneeswaran, V., Pallikonda Rajasekaran, M.: Local contrast regularized contrast limited adaptive histogram equalization using tree seed algorithm\u2014an aid for mammogram images enhancement. In: Satapathy, S.C., Bhateja, V., Das, S. (eds.) Smart Intelligent Computing and Applications. SIST, vol. 104, pp. 693\u2013701. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-1921-1_67"},{"issue":"6","key":"32_CR6","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TASSP.1981.1163711","volume":"29","author":"K Robert","year":"1981","unstructured":"Robert, K.: Cubic convolution interpolation for digital image processing. IEEE Trans. Acoust. Speech Signal Process. 29(6), 1153\u20131160 (1981)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"issue":"1","key":"32_CR7","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/TMI.1983.4307610","volume":"2","author":"J Parker","year":"1983","unstructured":"Parker, J.: Comparison of interpolating methods for image resampling. IEEE Trans. Med. Imaging 2(1), 31\u201339 (1983)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"4","key":"32_CR8","first-page":"347","volume":"5","author":"S Das","year":"2014","unstructured":"Das, S.: Medical image enhancement techniques by bottom hat and median filtering. Int. J. Electron. Commun. Comput. Eng. 5(4), 347\u2013351 (2014)","journal-title":"Int. J. Electron. Commun. Comput. Eng."},{"key":"32_CR9","doi-asserted-by":"crossref","unstructured":"Meng, H.: Iris recognition algorithms based on Gabor wavelet transforms. In: 2006 International Conference on Mechatronics and Automation, pp. 1785\u20131789. IEEE, China (2006)","DOI":"10.1109\/ICMA.2006.257485"},{"key":"32_CR10","unstructured":"Suckling, J.: The mammographic image analysis society digital mammogram database. Digital Mammo, pp. 375\u2013386 (1994)"},{"key":"32_CR11","unstructured":"DDSM: Digital Database for Screening Mammography. http:\/\/www.eng.usf.edu\/cvprg\/Mammography\/Database.html. Accessed 14 Jun 2019"},{"issue":"7","key":"32_CR12","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1364\/JOSAA.2.001160","volume":"2","author":"J Daugman","year":"1985","unstructured":"Daugman, J.: Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. JOSA A 2(7), 1160\u20131169 (1985)","journal-title":"JOSA A"},{"key":"32_CR13","unstructured":"The mini-MIAS database of mammograms. http:\/\/peipa.essex.ac.uk\/info\/mias.html. Accessed 14 Jun 2019"},{"issue":"1","key":"32_CR14","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s11042-013-1429-5","volume":"74","author":"Y Yi","year":"2015","unstructured":"Yi, Y.: An improved locality sensitive discriminant analysis approach for feature extraction. Multimed. Tools Appl. 74(1), 85\u2013104 (2015)","journal-title":"Multimed. Tools Appl."},{"key":"32_CR15","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.asoc.2016.04.036","volume":"46","author":"U Raghavendra","year":"2016","unstructured":"Raghavendra, U.: Application of Gabor wavelet and locality sensitive discriminant analysis for automated identification of breast cancer using digitized mammogram images. Appl. Soft Comput. 46, 151\u2013161 (2016)","journal-title":"Appl. Soft Comput."},{"key":"32_CR16","first-page":"286","volume":"7","author":"M Arfan","year":"2017","unstructured":"Arfan, M.: Deep learning based computer aided diagnosis system for breast mammograms. Int. J. Adv. Comput. Sci. Appl. 7, 286\u2013290 (2017)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"32_CR17","doi-asserted-by":"crossref","unstructured":"Alkhaleefah, M.: A hybrid CNN and RBF-based SVM approach for breast cancer classification in mammograms (2018)","DOI":"10.1109\/SMC.2018.00159"},{"issue":"2","key":"32_CR18","first-page":"381","volume":"10","author":"N Tariq","year":"2019","unstructured":"Tariq, N.: Breast cancer classification using global discriminate features in mammographic images. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 10(2), 381\u2013387 (2019)","journal-title":"Int. J. Adv. Comput. Sci. Appl. (IJACSA)"},{"key":"32_CR19","doi-asserted-by":"crossref","unstructured":"Hussain, L., Aziz, W.: Automated breast cancer detection using machine learning techniques by extracting different feature extracting strategies. In: 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, pp. 327\u2013331. IEEE, New York (2018)","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00057"}],"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_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T14:09:08Z","timestamp":1710252548000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33904-3_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030339036","9783030339043"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33904-3_32","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":"The authors declare that there are no conflicts of interest regarding the publication of this paper.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"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"}]}}