Comparison of Image Processing Techniques for Reticular Pattern Recognition in Melanoma Detection
暂无分享,去创建一个
[1] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Aurora Sáez,et al. Model-Based Classification Methods of Global Patterns in Dermoscopic Images , 2014, IEEE Transactions on Medical Imaging.
[3] Masafumi Hagiwara,et al. An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm , 2008, Comput. Medical Imaging Graph..
[4] Fred Godtliebsen,et al. A computer aided diagnostic system for malignant melanomas , 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).
[5] G. Fabbrocini,et al. Dermoscopic image-analysis system: estimation of atypical pigment network and atypical vascular pattern , 2006, IEEE International Workshop on Medical Measurement and Applications, 2006. MeMea 2006..
[6] Randy H. Moss,et al. Automatic detection of blue-white veil and related structures in dermoscopy images , 2008, Comput. Medical Imaging Graph..
[7] Gerard de Haan,et al. Automatic imaging sysem with decision support for inspection of pigmented skin lesions and melanoma diagnosis. , 2009 .
[8] Catarina Barata,et al. A System for the Detection of Pigment Network in Dermoscopy Images Using Directional Filters , 2012, IEEE Transactions on Biomedical Engineering.
[9] Junji Maeda,et al. Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images , 2009, IEEE Journal of Selected Topics in Signal Processing.
[10] Rita Cucchiara,et al. Line Detection and Texture Characterization of Network Patterns , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[11] Jorge S. Marques,et al. Detecting the pigment network in dermoscopy images: A directional approach , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[12] Begoña García Zapirain,et al. Automated Detection of Melanoma in Dermoscopic Images , 2014 .
[13] Alfredo Paolillo,et al. An improved procedure for the automatic detection of dermoscopic structures in digital ELM images of skin lesions , 2008, 2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems.
[14] Irene Fondón Garcia,et al. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images , 2013, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.
[15] H. Koga,et al. Computer-based classification of dermoscopy images of melanocytic lesions on acral volar skin. , 2008, The Journal of investigative dermatology.
[16] A. Paolillo,et al. A software tool for the diagnosis of melanomas , 2010, 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.
[17] Antonio Pietrosanto,et al. Automatic Diagnosis of Melanoma Based on the 7-Point Checklist , 2014 .
[18] R. Joe Stanley,et al. Detection of asymmetric blotches (asymmetric structureless areas) in dermoscopy images of malignant melanoma using relative color , 2005, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.
[19] Max A. Viergever,et al. A discrete dynamic contour model , 1995, IEEE Trans. Medical Imaging.
[20] Rafael García,et al. Computerized analysis of pigmented skin lesions: A review , 2012, Artif. Intell. Medicine.
[21] Begoña Acha,et al. Pattern analysis of dermoscopic images based on Markov random fields , 2009, Pattern Recognit..
[22] Randy H. Moss,et al. A methodological approach to the classification of dermoscopy images , 2007, Comput. Medical Imaging Graph..
[23] Amelio Vázquez Reina,et al. Radon-Like features and their application to connectomics , 2010, CVPR Workshops.
[24] M. Stella Atkins,et al. Modeling the Dermoscopic Structure Pigment Network Using a Clinically Inspired Feature Set , 2010, MIAR.
[25] Masaru Tanaka,et al. Pattern Classification of Nevus with Texture Analysis , 2008 .
[26] Rongchun Zhao,et al. Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model , 2006, IEEE Transactions on Image Processing.
[27] Harald Ganster,et al. Automated Melanoma Recognition , 2001, IEEE Trans. Medical Imaging.
[28] Murali Anantha,et al. Detection of pigment network in dermatoscopy images using texture analysis. , 2004, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[29] Begoña García Zapirain,et al. Blue-white veil and dark-red patch of pigment pattern recognition in dermoscopic images using machine-learning techniques , 2011, 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
[30] G. Betta,et al. Automated Application of the “7-point checklist” Diagnosis Method for Skin Lesions: Estimation of Chromatic and Shape Parameters. , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.
[31] Brian C. Lovell,et al. Blotch Detection in Pigmented Skin Lesions Using Fuzzy Co-clustering and Texture Segmentation , 2009, 2009 Digital Image Computing: Techniques and Applications.
[32] Michael Unser,et al. Texture classification and segmentation using wavelet frames , 1995, IEEE Trans. Image Process..
[33] Rama Chellappa,et al. Estimation and choice of neighbors in spatial-interaction models of images , 1983, IEEE Trans. Inf. Theory.
[34] S. Menzies,et al. Frequency and morphologic characteristics of invasive melanomas lacking specific surface microscopic features. , 1996, Archives of dermatology.
[35] G. Argenziano,et al. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. , 1998, Archives of dermatology.
[36] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[37] Jorge S. Marques,et al. A system for the automatic detection of pigment network , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[38] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[39] Alfredo Paolillo,et al. Towards an automatic diagnosis system for skin lesions: Estimation of blue-whitish veil and regression structures , 2009, 2009 6th International Multi-Conference on Systems, Signals and Devices.
[40] David I. McLean,et al. Oriented Pattern Analysis for Streak Detection in Dermoscopy Images , 2012, MICCAI.
[41] Alfredo Paolillo,et al. Automatic Diagnosis of Melanoma: A Software System Based on the 7-Point Check-List , 2010, 2010 43rd Hawaii International Conference on System Sciences.
[42] Randy H. Moss,et al. Detection of solid pigment in dermatoscopy images using texture analysis , 2000, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.
[43] Qaisar Abbas,et al. Computer‐aided pattern classification system for dermoscopy images , 2012, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.
[44] Harvey Lui,et al. Pigment Network Detection and Analysis , 2014 .
[45] T Lee,et al. Dullrazor®: A software approach to hair removal from images , 1997, Comput. Biol. Medicine.
[46] Begoña García Zapirain,et al. Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis , 2014, Comput. Biol. Medicine.
[47] Josep Malvehy,et al. Dermoscopy report: proposal for standardization. Results of a consensus meeting of the International Dermoscopy Society. , 2007, Journal of the American Academy of Dermatology.
[48] Yoram Singer,et al. BoosTexter: A Boosting-based System for Text Categorization , 2000, Machine Learning.
[49] David I. McLean,et al. Generalizing Common Tasks in Automated Skin Lesion Diagnosis , 2011, IEEE Transactions on Information Technology in Biomedicine.
[50] Jin Xu,et al. Concentric decile segmentation of white and hypopigmented areas in dermoscopy images of skin lesions allows discrimination of malignant melanoma , 2011, Comput. Medical Imaging Graph..
[51] Kapil Gupta,et al. Fuzzy logic techniques for blotch feature evaluation in dermoscopy images , 2009, Comput. Medical Imaging Graph..
[52] T. Tanaka,et al. Pattern classification of nevus with texture analysis , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[53] G E Gigante,et al. Toward a quantitative analysis of skin lesion images. , 2002, Studies in health technology and informatics.
[54] David I. McLean,et al. Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions , 2013, IEEE Transactions on Medical Imaging.
[55] Qaisar Abbas,et al. Pattern classification of dermoscopy images: A perceptually uniform model , 2013, Pattern Recognit..
[56] Randy H. Moss,et al. Advances in skin cancer image analysis , 2011, Comput. Medical Imaging Graph..
[57] Jin Xu,et al. Detection of granularity in dermoscopy images of malignant melanoma using color and texture features , 2011, Comput. Medical Imaging Graph..
[58] Carlos S. Mendoza,et al. Pattern Analysis of Dermoscopic Images Based on FSCM Color Markov Random Fields , 2009, ACIVS.
[59] Jun Zhang,et al. Analysis of the network pattern in dermatoscopic images , 1999 .
[60] Ghassan Hamarneh,et al. Learning features for streak detection in dermoscopic color images using localized radial flux of principal intensity curvature , 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.
[61] K Wolff,et al. In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern analysis of pigmented skin lesions. , 1987, Journal of the American Academy of Dermatology.
[62] Begoña García Zapirain,et al. Melanomas non-invasive diagnosis application based on the ABCD rule and pattern recognition image processing algorithms , 2011, Comput. Biol. Medicine.
[63] Giuseppe Argenziano,et al. Detection of atypical texture features in early malignant melanoma , 2010, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.
[64] Ali Madooei,et al. Automatic Detection of Blue-White Veil by Discrete Colour Matching in Dermoscopy Images , 2013, MICCAI.
[65] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[66] Edward H. Adelson,et al. Shiftable multiscale transforms , 1992, IEEE Trans. Inf. Theory.
[67] C R Dyer,et al. Techniques for a structural analysis of dermatoscopic imagery. , 1998, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[68] Martin Ester,et al. Graph-based pigment network detection in skin images , 2010, Medical Imaging.
[69] M. Stella Atkins,et al. A novel method for detection of pigment network in dermoscopic images using graphs , 2011, Comput. Medical Imaging Graph..
[70] P. Schmid,et al. Analysis of skin lesions with pigmented networks , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[71] Edward H. Adelson,et al. The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[72] Carsten Steger,et al. An Unbiased Detector of Curvilinear Structures , 1998, IEEE Trans. Pattern Anal. Mach. Intell..