Segmentation and Classification of Skin Lesions for Disease Diagnosis
作者： R. Sumithra , Mahamad Suhil , D.S. Guru
DOI: 10.1016/J.PROCS.2015.03.090
关键词: Scale-space segmentation 、 Computer science 、 Initialization 、 Support vector machine 、 Segmentation 、 Lesion 、 Skin lesion 、 Classifier (UML) 、 Region growing 、 Pattern recognition 、 Artificial intelligence 、 Computer vision
摘要: … and classification of skin lesions is proposed. Initially, skin images are filtered to remove unwanted hairs and noise and then the segmentation process is carried out to extract lesion …
arxiv.org
harvard.edu
cyberleninka.org
scilit.net参考文章(11)
A Al-Jumaily, M Abu Mahmoud, Takruri, Wavelet and Curvelet Analysis for Automatic Identification of Melanoma Based on Neural Network Classification MIR Labs. ,(2013)
Matthias Elter, Christian Held, Thomas Wittenberg, Contour tracing for segmentation of mammographic masses Physics in Medicine and Biology. ,vol. 55, pp. 5299- 5315 ,(2010) , 10.1088/0031-9155/55/18/004
M.I. Rajab, M.S. Woolfson, S.P. Morgan, Application of region-based segmentation and neural network edge detection to skin lesions. Computerized Medical Imaging and Graphics. ,vol. 28, pp. 61- 68 ,(2004) , 10.1016/S0895-6111(03)00054-5
M. Emre Celebi, Hassan A. Kingravi, Bakhtiyar Uddin, Hitoshi Iyatomi, Y. Alp Aslandogan, William V. Stoecker, Randy H. Moss, A Methodological Approach to the Classification of Dermoscopy Images Computerized Medical Imaging and Graphics. ,vol. 31, pp. 362- 373 ,(2007) , 10.1016/J.COMPMEDIMAG.2007.01.003
Qaisar Abbas, M.E. Celebi, Carmen Serrano, Irene Fondón García, Guangzhi Ma, Pattern classification of dermoscopy images: A perceptually uniform model Pattern Recognition. ,vol. 46, pp. 86- 97 ,(2013) , 10.1016/J.PATCOG.2012.07.027
Robert M. Haralick, K. Shanmugam, Its'Hak Dinstein, Textural Features for Image Classification IEEE Transactions on Systems, Man, and Cybernetics. ,vol. SMC-3, pp. 610- 621 ,(1973) , 10.1109/TSMC.1973.4309314
Xiaojing Yuan, Ning Situ, George Zouridakis, A narrow band graph partitioning method for skin lesion segmentation Pattern Recognition. ,vol. 42, pp. 1017- 1028 ,(2009) , 10.1016/J.PATCOG.2008.09.006
Pietro Rubegni, Gabriele Cevenini, Marco Burroni, Roberto Perotti, Giordana Dell'Eva, Paolo Sbano, Clelia Miracco, Pietro Luzi, Piero Tosi, Paolo Barbini, Lucio Andreassi, Automated diagnosis of pigmented skin lesions. International Journal of Cancer. ,vol. 101, pp. 576- 580 ,(2002) , 10.1002/IJC.10620
Xiaojing Yuan, Ning Situ, George Zouridakis, Automatic segmentation of skin lesion images using evolution strategies Biomedical Signal Processing and Control. ,vol. 3, pp. 220- 228 ,(2008) , 10.1016/J.BSPC.2008.02.003
Mai S.Mabrouk, Mariam A.Sheha, Amr Sharawy, Automatic Detection of Melanoma Skin Cancer using Texture Analysis International Journal of Computer Applications. ,vol. 42, pp. 22- 26 ,(2012) , 10.5120/5817-8129