{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T10:19:19Z","timestamp":1790417959550,"version":"4.1.0"},"reference-count":26,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2008,11,11]],"date-time":"2008-11-11T00:00:00Z","timestamp":1226361600000},"content-version":"vor","delay-in-days":71,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2008,9]]},"abstract":"<jats:p>This paper proposes a novel approach to initial lesion detection in ultrasound breast images. The objective is to automate the manual process of region of interest (ROI) labeling in computer\u2010aided diagnosis (CAD). We propose the use of hybrid filtering, multifractal processing, and thresholding segmentation in initial lesion detection and automated ROI labeling. We used 360 ultrasound breast images to evaluate the performance of the proposed approach. Images were preprocessed using histogram equalization before hybrid filtering and multifractal analysis were conducted. Subsequently, thresholding segmentation was applied on the image. Finally, the initial lesions are detected using a rule\u2010based approach. The accuracy of the automated ROI labeling was measured as an overlap of 0.4 with the lesion outline as compared with lesions labeled by an expert radiologist. We compared the performance of the proposed method with that of three state\u2010of\u2010the\u2010art methods, namely, the radial gradient index filtering technique, the local mean technique, and the fractal dimension technique. We conclude that the proposed method is more accurate and performs more effectively than do the benchmark algorithms considered.<\/jats:p>\n                  <jats:p>PACS numbers: 87.57.Nk<\/jats:p>","DOI":"10.1120\/jacmp.v9i4.2741","type":"journal-article","created":{"date-parts":[[2008,12,10]],"date-time":"2008-12-10T14:01:37Z","timestamp":1228917697000},"page":"181-199","source":"Crossref","is-referenced-by-count":74,"title":["A novel algorithm for initial lesion detection in ultrasound breast images"],"prefix":"10.1002","volume":"9","author":[{"given":"Moi Hoon","family":"Yap","sequence":"first","affiliation":[{"name":"Department of Computer Science Loughborough University  Loughborough U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eran A.","family":"Edirisinghe","sequence":"additional","affiliation":[{"name":"Department of Computer Science Loughborough University  Loughborough U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helmut E.","family":"Bez","sequence":"additional","affiliation":[{"name":"Department of Computer Science Loughborough University  Loughborough U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2008,11,11]]},"reference":[{"key":"e_1_2_6_2_1","first-page":"224","volume-title":"Breast cancer\u2014can you prevent it?","author":"Lawson A","year":"1999"},{"key":"e_1_2_6_3_1","unstructured":"BBCNews.Breast cancer.BBC News Channel [Electronic version]. 30 January2004. Retrieved 6 August 2008 fromhttp:\/\/news.bbc.co.uk\/go\/pr\/fr\/\u2010\/1\/hi\/health\/medical_notes\/3244315.stm."},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyg275"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0301-5629(03)00059-0"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0301-5629(99)00156-8"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.1485995"},{"key":"e_1_2_6_8_1","first-page":"5","volume-title":"Proceedings of MMU International Symposium on Information and Communications Technologies (M2USIC)","author":"Yap MH","year":"2005"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.189.2.8210359"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.193.1.8090906"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0929-8266(98)00062-7"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.7863\/jum.2004.23.9.1201"},{"key":"e_1_2_6_13_1","first-page":"146","volume-title":"Digital image processing","author":"Wintz P","year":"1987"},{"key":"e_1_2_6_14_1","first-page":"609","volume-title":"Digital image processing using MATLAB","author":"Gonzalez RC","year":"2003"},{"key":"e_1_2_6_15_1","unstructured":"SourceForge.net.LTI\u2010LIB.Introduction [Electronic resource]. 24 November 2005. Retrieved 6 August 2008 fromhttp:\/\/Ltilib.sourceforge.net\/doc\/homepage\/index.shtml."},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.41487"},{"key":"e_1_2_6_17_1","unstructured":"PrapavesisST FornageBD WeismannCF et al.Breast ultrasound and US\u2010guided interventional techniques [Multimedia teaching file].Thessaloniki (Greece): authors;2001."},{"key":"e_1_2_6_18_1","first-page":"53","volume-title":"Proceedings of Third Canadian Robotics and Machine Vision Conference (CRV 2006)","author":"Yap MH","year":"2006"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2004.834617"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.208759"},{"key":"e_1_2_6_21_1","first-page":"110","volume-title":"Nonlinear diffusion for image filtering and monotonicity enhancement [PhD thesis]","author":"Mrazek P","year":"2001"},{"key":"e_1_2_6_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.56205"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2002.804276"},{"key":"e_1_2_6_24_1","first-page":"423","volume-title":"Handbook on computer vision and applications","author":"Weickert J","year":"1999"},{"key":"e_1_2_6_25_1","first-page":"2301","volume-title":"Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium","author":"Yeo TS","year":"2001"},{"key":"e_1_2_6_26_1","first-page":"468","volume-title":"The fractal geometry of nature","author":"Mandelbrot BB","year":"1982"},{"key":"e_1_2_6_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/0734-189X(88)90022-9"}],"container-title":["Journal of Applied Clinical Medical Physics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1120%2Fjacmp.v9i4.2741","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1120%2Fjacmp.v9i4.2741","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/pdf\/10.1120\/jacmp.v9i4.2741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T23:10:48Z","timestamp":1696547448000},"score":1,"resource":{"primary":{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/10.1120\/jacmp.v9i4.2741"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,9]]},"references-count":26,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2008,9]]}},"alternative-id":["10.1120\/jacmp.v9i4.2741"],"URL":"https:\/\/doi.org\/10.1120\/jacmp.v9i4.2741","archive":["Portico"],"relation":{},"ISSN":["1526-9914","1526-9914"],"issn-type":[{"value":"1526-9914","type":"print"},{"value":"1526-9914","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,9]]}}}