Melanoma diagnosis by the use of wavelet analysis based on morphological operators

IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011

Volumn 1, Issue , 2011, Pages 193-196

  Fassihi, Nima ^d   Shanbehzadeh, Jamshid ^a   Sarafzadeh, Abdolhossein ^b   Ghasemi, Elham ^c  

^a KHARAZMI UNIVERSITY   (Iran)

^b UNITEC INSTITUTE OF TECHNOLOGY   (New Zealand)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d NONE

Author keywords

Feature extraction; Segmentation; Skin melanoma; Wavelet transform

Indexed keywords

LABORATORY TEST; MALIGNANT LESION; MORPHOLOGIC OPERATORS; MORPHOLOGICAL OPERATOR; SKIN CANCERS; WAVELET COEFFICIENTS;

COMPUTER SCIENCE; ENGINEERS; FEATURE EXTRACTION; NEURAL NETWORKS; ONCOLOGY; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

DERMATOLOGY;

EID: 79960586787     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. M. Emre celebi, Hitoshi Iyatomi, Gerald Schaefer, William V. Stoecker, "Lesion border detection in dermoscopy images" computerized Medical Imaging and Graphics 33 (2009) 148-153 Elsevier.
2. Xiaojing Yuan, Ning Situ, George Zouridakis, " A narrow band graph partitioning method for skin lesion segmentation" Pattern Recognition 42 (2009) 1017-1028 Elsevier.
3. Jinshan Tang, Raj Rangayyan, Jianhua Yao, Yongyi Yang, "Digital image processing and pattern recognition techniques for the detection of cancer" 6 (2009) 1015-1016 Elsevier.
4. Sachin V; Patwardhan; Shuangshuang Dai; Atam P. Dhawan. "Multispectral image analysis and classification of melanoma using fuzzy membership based partitions". Computerized Medical Imaging and Graphics 29 (2005) 287-296 elsevier.
5. Delgado D, Butakoff C, Ersboll BK, Stoecker VW. "Independent histogram pursuit for segmentation of skin lesions". IEEE Trans on Biomedical Engineering 2008;55(1):157-61. (Pubitemid 350308426)
6. Vincent T.Y. Ng; Benny Y.M. Fung; Tim K.Lee "Determining the asymmetry of skin lesion with fuzzy borders" Computers in Biology and Medicine 35 (2005) 103-120.
7. Sachin V. Patwardhan, Atam P. Dhawn, Patricia A. Relue, "classification of melanoma using tree structured wavelet transforms" Computer Methods and Programs in Biomedicine 72 (2003) 223-239 Elsevier.
8. Sonka M, Hlavac V, Boyle R. "Image processing, analysis, and machine vision". Cengage-Engineering 2007.
9. Erkol B,Moss RH, Stanley RJ, StoeckerWV, Hvatum E. "Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes". Skin Research and Technology 2005;11(1):17-26.
10. R. P. Braun, L. E. French, J.-H. Saurat. Dermoscopy of pigmented lesions: a valuable tool in the diagnosis of melanoma. SWISS MED WKLY 2004;134:83-90.
11. N. Cascinelli, M. Ferrario, R. Bufalino, S. Zurrida, V. Galimberti, L. Mascheroni, C. Bartoli, and C. Clemente, "Results obtained by using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma," Melanoma Res., vol. 2,pp. 163-170, 1992.
12. Mads Hintz-Madsen, Lars Kai Hansen, and Jan Larsen. "Detecting Malignant Melanoma using Neural Classifiers". Proceedings of International Conference on Engineering Applications with Neural Networks. June 1996.
13. Philippe Schmid-Saugeon, Joel Guillod, Jean-Philippe Thiran. "Towards a computeraided diagnosis system for pigmented skin lesions". Computerized Medical Imaging and Graphics 27 (2003) 65-78.
14. Solarscan http://extra.cmis.csiro.au/IA/ryan1/melanoma-technical.pdf (last accessed4/23/08).
15. John Silkorski."Identification of malignant melanoma by wavelet analysis" Proceedings of Student/Faculty Research Day, CSIS, Pace University, May 7th, 2004.
16. Melanoma http://www.abiaunion.com/?p=5 (last accessed7/12/10).