A retrieval system to analyse dermatological lesions using feature ortho-normalisation

References

• Bosman, H. H., Petkov, N., & Jonkman, M. F. (2010). Comparison of color representations for content-based image retrieval in dermatology. Skin Research and Technology, 16(1), 109–113.
   PubMed Web of Science ®Google Scholar
• Celebi, M. E., Iyatomi, H., Schaefer, G., & Stoecker, W. V. (2009). Lesion border detection in dermoscopy images. Computerized Medical Imaging and Graphics, 33(2), 148–153.
   PubMed Web of Science ®Google Scholar
• Cheng, Y., Swamisai, R., Umbaugh, S. E., Moss, R. H., Stoecker, W. V., Teegala, S., & Srinivasan, S. K. (2008). Skin lesion classification using relative color features. Skin Research and Technology, 14(1), 53-64.
   Google Scholar
• Emre Celebi, M., Kingravi, H. A., Iyatomi, H., Alp Aslandogan, Y., Stoecker, W. V., Moss, R. H., ... & Menzies, S. W. (2008). Border detection in dermoscopy images using statistical region merging. Skin Research and Technology, 14(3), 347-353.
   Google Scholar
• Jiji, G. W., & Durai Raj, P. J. (2015). Content-based image retrieval techniques for the analysis of dermatological lesions using particle swarm optimization technique. Applied Soft Computing, 30, 650–662.
   Web of Science ®Google Scholar
• Jiji, G. W., & Durai Raj, P. J. (2014). Content-based image retrieval in dermatology using intelligent technique. IET Image Processing, 9(4), 306–317.
   Web of Science ®Google Scholar
• Kakumanu, P., Makrogiannis, S., & Bourbakis, N. (2007). A survey of skin-color modeling and detection methods. Pattern Recognition, 40(3), 1106–1122.
   Web of Science ®Google Scholar
• Lee, T. K., & Claridge, E. (2005). Predictive power of irregular border shapes for malignant melanomas. Skin Research and Technology, 11(1), 1–8.
   PubMed Web of Science ®Google Scholar
• Li, C., Xu, C., Gui, C., & Fox, M. D. (2005). Level set evolution without re-initialization: a new variational formulation. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on (Vol. 1, pp. 430-436). IEEE.
   Google Scholar
• Lin, F.-J., Shieh, H.-J., & Huang, P.-K. (2006). Adaptive wavelet neural network control with hysteresis estimation for piezo-positioning mechanism. IEEE Transactions on Neural Networks, 17(2), 432–444.
   PubMedGoogle Scholar
• Liu, G. L., Li, Y., & Cameron, B. D. (2002). Polarization-based optical imaging and processing techniques with application to the cancer diagnostics. International symposium on biomedical optics (pp. 208–220). International Society for Optics and Photonics.
   Google Scholar
• Müller, H., Michoux, N., Bandon, D., & Geissbuhler, A. (2004). A review of content-based image retrieval systems in medical applications—clinical benefits and future directions. International journal of medical informatics, 73(1), 1-23.
   Google Scholar
• Polat, K., & Güneş, S. (2009). A novel hybrid intelligent method based on C4. 5 decision tree classifier and one-against-all approach for multi-class classification problems. Expert Systems with Applications, 36(2), 1587–1592.
   Web of Science ®Google Scholar
• Rahman, M. M., Desai, B. C., & Bhattacharya, P. (2006). Image retrieval-based decision support system for dermatoscopic images. IEEE symposium on computer-based medical systems (pp. 285–290). Los Alamitos, CA: IEEE Computer Society.
   Google Scholar
• Sboner, A., Eccher, C., Blanzieri, E., Bauer, P., Cristofolini, M., Zumiani, G., & Forti, S. (2003). A multiple classifier system for early melanoma diagnosis. Artificial Intelligence in Medicine, 27(1), 29–44.
   PubMed Web of Science ®Google Scholar
• Schmid-Saugeona, P., Guillodb, J., & Thirana, J. P. (2003). Towards a computer-aided diagnosis system for pigmented skin lesions. Computerized Medical Imaging and Graphics, 27(1), 65–78.
   PubMed Web of Science ®Google Scholar
• Stoecker, W. V., Chiang, C. S., & Moss, R. H. (1992). Texture in skin images: Comparison of three methods to determine smoothness. Computerized Medical Imaging and Graphics, 16(3), 179–190.
   PubMed Web of Science ®Google Scholar
• Wollina, U., Burroni, M., Torricelli, R., Gilardi, S., Dell‘Eva, G., Helm, C., & Bardey, W. (2007). Digital dermoscopy in clinical practise: A three-central analysis. Skin Research and Technology, 13(10), 133–142.
   PubMedGoogle Scholar