SEGMENTASI MORPHOLOGI UNTUK DETEKSI KANKER PAYUDARA PADA DIGITAL MAMMOGRAFI
Abstract
Abstrack: Breast cancer is expressed as dread disease for women in the world. Citra mammography is the image that can be used as a tool to detect keberdaan disease. The existence of the disease indicated in the characteristics of the object kanker breast tumors which appear in the image of mammography. In peper was presented algorithm segmentation morphologi with the process of opening and closing for the detection of breast tumors that appear in the image of mammography. Results dipeoleh shows the process is able to detect the presence of cancer in both the gray scale image.
Keywords : mammografi, morphologi, thresolding, opening, closing
References
Anonim, 2008, Deteksi Kanker Leher Rahim Dan Kanker Payudara, http:// www.depkes.go.id/index.php?option=news&task=viewarticle&sid=2965,15 September 2009.
Adipranta, R. 2005, Penelitian: Perancangan dan Pembuatan Aplikasi Segmentasi Gambar Dengan Menggunakan Metode Morphological Watershed.
Anwariningsih, S.H,”Perhitungan Luas dan Keliling Bangun Geometri Menggunakan Pendekatan Morfologi”, Seminar Nasional Aplikasi Teknologi Informasi 2009 (SNATI 2009), Yogyakarta, 20 Juni 2009.
Beaulieu,J.M dan Touzi,R., 2004, Classification of Polarimetric Sar Images Using Radiometric and Texture Information,
Http://www.igarss08.org/Abstracts/pdfs/2038.pdf ,5 nov 2009.
Daniel,V.,2006, MRI In The Earlydetection of Breastcancer in Women With High Genetic Risk, Tumori, 92: 517-523.
Faridah, Y., 2008, Digital versus screen film mammography:a clinical comparison, biij , 19 Mei 2008.
Gonzalez, R.C. dan Woods, R.E.,2002, Digital Image Processing, Second Edition, Prentice Hall, New Jersey.
Grau, V., Mewes AU, Alcañiz M, Kikinis R dan Warfield SK 2004, Improved Watershed Transform for Medical Image Segmentation Using Prior Information Export, Medical Imaging, IEEE Transactions on In Medical Imaging, IEEE Transactions on, Vol. 23, No. 4. (05 April 2004), pp. 447-458.
Jung, C.R.,2007, Combining Wavelets and Watersheds for Robust Multiscale Image Segmentation, Image and Vision Computing 25, pp. 24–33.
Indrati, A. dan Madenda, S, Ekstraksi Fitur Bentuk Tumor Payudaa, Seminar Nasional Aplikasi Teknologi informasi 2009, Yogyakarta, 20 Juni 2009.
Lawrence W.,2009, Computer-Aided Detection (CAD) Of Lung Nodules In CT Scans: Radiologist Performance And Reading Time With Incremental CAD Assistance, European Radiology, Thursday, September 17, 2009.
Nallaperumal, K., Krishnaveni, K., Varghhese, J.,Saudia, S., Annam, S., dan Kumar,P.,2007, A novel Multi-scale Morphological Watershed Segmentasion Algorithm,IJISE, GA,USA,VOL 1,NO 2, APRIL 2007.
Pisano, E. D., Cole, E.B. dan Hemminger, B.,2000, Image Processing Algorithms for Digital Mammography: A Pictorial Essay, RadioGraphics; 20:1479–1491.
Santoso,I., Hidayatno, A dan Pratama, A.G, Identifikasi Keberadaan Tumor Pada Citra Mammografi Menggunakan Metode Run Length, Jurnal Teknik Elektro, Jilid 10, Nomor 1, Maret 2008, hlm 43-48. Univ. Diponegoro.
Sheshadri. H.S. dan Kandaswamy.A., 2005, Detection of Breast Cancer Tumor based on Morpological Watershed Algorithm, ICGST-GVIP, volum 5.
Shih, F.Y.,2009, Image Processing and Matematical Morphological Fundamentals and Aplications,Taylor and Groups, LLC
Tahmmoush, D. dan Samet, H., 2006, Using Image Similarity and Asymmetry to Detect Breast Cancer,SPIE,volum 6144.
Wirawan, B.A.,2008, Morphological Gradient Sebagai Alternatif Operator Pendeteksi Tepi Segmentasi Citra Digital, PIT MAPIN XVII, Bandung, 10-12-2008
www.its.ac.id
Master Theses of Informatics Engineering Department, RSK 661.82 Her p, 2007
