{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T12:02:41Z","timestamp":1756382561208,"version":"3.37.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030393427"},{"type":"electronic","value":"9783030393434"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-39343-4_3","type":"book-chapter","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T06:03:29Z","timestamp":1579759409000},"page":"26-37","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7747-0180","authenticated-orcid":false,"given":"Haipeng","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4578-1931","authenticated-orcid":false,"given":"Ramakrishnan","family":"Mukundan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6476-3355","authenticated-orcid":false,"given":"Shelley","family":"Boyd","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,24]]},"reference":[{"key":"3_CR1","unstructured":"WHO. \nhttp:\/\/www.who.int\/cancer\/detection\/breastcancer\/en\/index3.html\n\n. Accessed 11 Dec 2018"},{"key":"3_CR2","unstructured":"Breast Cancer Foundation New Zealand. \nhttps:\/\/www.breastcancerfoundation.org.nz\/breast-awareness\/breast-cancer-facts\/breast-cancer-in-nz\n\n. Accessed 30 Jan 2019"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"2110","DOI":"10.1118\/1.2890080","volume":"35","author":"MP Sampat","year":"2008","unstructured":"Sampat, M.P., Bovik, A.C., Whitman, G.J.: A model-based framework for the detection of speculated masses on mammography. Med. Phys. 35, 2110\u20132123 (2008)","journal-title":"Med. Phys."},{"key":"3_CR4","doi-asserted-by":"publisher","unstructured":"Singh, B., Kaur, M.: An approach for classification of malignant and benign microcalcification clusters. Sadhana-Acad. Proc. Eng. Sci. 43(3) (2018). \nhttps:\/\/doi.org\/10.1007\/s12046-018-0805-2","DOI":"10.1007\/s12046-018-0805-2"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.cmpb.2016.02.019","volume":"130","author":"Ya\u2019nan Guo","year":"2016","unstructured":"Guo, Y.N., et al.: A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNN. Comput. Methods Programs Biomed. 130, 31\u201345 (2016). \nhttps:\/\/doi.org\/10.1016\/j.cmpb.2016.02.019","journal-title":"Computer Methods and Programs in Biomedicine"},{"issue":"11","key":"3_CR6","doi-asserted-by":"publisher","first-page":"13047","DOI":"10.1007\/s11042-016-3703-9","volume":"76","author":"Mouna Zouari Mehdi","year":"2016","unstructured":"Mehdi, M.Z., Ben Ayed, N.G., Masmoudi, A.D., Sellami, D., Abid, R.: An efficient microcalcifications detection based on dual spatial\/spectral processing. Multimedia Tools Appl. 76(11), 13047\u201313065 (2017). \nhttps:\/\/doi.org\/10.1007\/s11042-016-3703-9","journal-title":"Multimedia Tools and Applications"},{"issue":"2","key":"3_CR7","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/s10278-016-9923-8","volume":"30","author":"Marcin Ciecholewski","year":"2016","unstructured":"Ciecholewski, M.: Microcalcification segmentation from mammograms: a morphological approach. J. Digit. Imaging 30(2), 172\u2013184 (2017). \nhttps:\/\/doi.org\/10.1007\/s10278-016-9923-8","journal-title":"Journal of Digital Imaging"},{"key":"3_CR8","doi-asserted-by":"publisher","unstructured":"Liu, X.M., Mei, M., Liu, J., Hu, W.: Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method. Eurasip J. Adv. Signal Process. 1\u201313 (2015). \nhttps:\/\/doi.org\/10.1186\/s13634-015-0249-3","DOI":"10.1186\/s13634-015-0249-3"},{"key":"3_CR9","unstructured":"Ibrahim, M., Mukundan, R.: Multifractal techniques for emphysema classification in lung tissue images. In: 3rd International Conference on Future Bioengineering (ICFB), pp. 115\u2013119 (2014)"},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Ibrahim, M., Mukundan, R.: Cascaded techniques for improving emphysema classification in CT images. Artif. Intell. Res. 4(2), 112\u2013118 (2015). \nhttps:\/\/doi.org\/10.5430\/air.v4n2p112","DOI":"10.5430\/air.v4n2p112"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Sahli, I.S., Bettaieb, H.A., Ben Abdallah, A., Bhouri, I., Bedoui, M.H.: Detection and segmentation of microcalcifications in digital mammograms using multifractal analysis. In: 5th International Conference on Image Processing, Theory, Tools and Applications 2015, pp. 180\u2013184 (2015)","DOI":"10.1109\/IPTA.2015.7367122"},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1016\/j.physa.2005.11.030","volume":"367","author":"Tomislav Stoji\u0107","year":"2006","unstructured":"Stojic, T., Rejin, I., Rejin, B.: Adaptation of multifractal analysis to segmentation of microcalcifications in digital mammograms. Phys. A-Stat. Mech. Appl. 367, 494\u2013508 (2006). \nhttps:\/\/doi.org\/10.1016\/j.physa.2005.11.030","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"key":"3_CR13","doi-asserted-by":"publisher","unstructured":"Moreira, I.C., Amaral, I., Domingues, I., Cardoso, A., Cardoso, M.J., Cardoso, J.S.: INbreast: toward a full-field digital mammographic database. Acad. Radiol. 19(2), 236\u2013248 (2012). \nhttps:\/\/doi.org\/10.1016\/j.acra.2011.09.01414","DOI":"10.1016\/j.acra.2011.09.01414"},{"key":"3_CR14","unstructured":"Suckling, J., et al.: Mammographic Image Analysis Society (MIAS) database v1.21 [Dataset] (2015). \nhttps:\/\/www.repository.cam.ac.uk\/handle\/1810\/250394"},{"key":"3_CR15","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.compbiomed.2018.03.011","volume":"96","author":"Peng Shi","year":"2018","unstructured":"Shi, P., Zhong, J., Rampun, A., Wang, H.: A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms. Comput. Biol. Med. 96, 178\u2013188 (2018). \nhttps:\/\/doi.org\/10.1016\/j.compbiomed.2018.03.011","journal-title":"Computers in Biology and Medicine"},{"key":"3_CR16","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.artmed.2017.06.001","volume":"79","author":"Andrik Rampun","year":"2017","unstructured":"Rampun, A., Morrow, P.J., Scotney, B.W., Winder, J.: Fully automated breast boundary and pectoral muscle segmentation in mammograms. Artif. Intell. Med. 79, 28\u201341 (2017). \nhttps:\/\/doi.org\/10.1016\/j.artmed.2017.06.001","journal-title":"Artificial Intelligence in Medicine"},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/262931","volume":"2013","author":"Boris Braverman","year":"2013","unstructured":"Braverman, B., Tambasco, M.: Scale-specific multifractal medical image analysis. Comput. Math. Methods Med. (2013). \nhttps:\/\/doi.org\/10.1155\/2013\/262931","journal-title":"Computational and Mathematical Methods in Medicine"},{"key":"3_CR18","unstructured":"Falconer, K.: Random Fractals. Fractal Geometry: Mathematical Foundations and Applications, 2nd edn. Wiley, Chichester (2005)"},{"key":"3_CR19","unstructured":"Reljin, I., Reljin, B., Pavlovic, I., Rakocevic, I.: Multifractal analysis of gray-scale images. In: MELECON 2000: Information Technology and Electrotechnology for the Mediterranean Countries, vol. 1\u20133, Proceedings, pp. 490\u2013493 (2000)"},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Wang, J., Yang, Y.Y., Nishikawa, R.M.: Reduction of false positive detection in clustered microcalcifications. In: 2013 20th IEEE International Conference on Image Processing (ICIP 2013), pp. 1433\u20131437 (2013)","DOI":"10.1109\/ICIP.2013.6738294"},{"issue":"9","key":"3_CR21","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.1109\/TMI.2004.828675","volume":"23","author":"R. Zwiggelaar","year":"2004","unstructured":"Zwiggelaar, R., Astley, S.M., Boggis, C.R.M., Taylor, C.J.: Linear structures in mammographic images: detection and classification. IEEE Trans. Med. Imaging 23(9), 1077\u20131086 (2004). \nhttps:\/\/doi.org\/10.1109\/Tmi.2004.828675","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"3_CR22","unstructured":"Sickles, E.A., D\u2019Orsi, C.J., Bassett, L.W., et al.: ACR BI-RADS\u00ae mammography. In: ACR BI-RADS\u00ae Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston (2013)"},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Domingues, I., Cardoso, J.S.: Using Bayesian surprise to detect calcifications in mammogram images. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1091\u20131094 (2014)","DOI":"10.1109\/EMBC.2014.6943784"},{"issue":"1","key":"3_CR24","doi-asserted-by":"publisher","first-page":"53","DOI":"10.3233\/BME-130783","volume":"24","author":"Erhu Zhang","year":"2014","unstructured":"Zhang, E.H., Wang, F., Li, Y.C., Bai, X.N.: Automatic detection of microcalcifications using mathematical morphology and a support vector machine. Bio-Med. Mater. Eng. 24(1), 53\u201359 (2014). \nhttps:\/\/doi.org\/10.3233\/Bme-130783","journal-title":"Bio-Medical Materials and Engineering"}],"container-title":["Communications in Computer and Information Science","Medical Image Understanding and Analysis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-39343-4_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T06:14:36Z","timestamp":1579760076000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-39343-4_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030393427","9783030393434"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-39343-4_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"24 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIUA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference on Medical Image Understanding and Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Liverpool","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"24 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miua2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/miua2019.com\/","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":"70","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":"43","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":"61% - 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","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)"}}]}}