Pixel-Based Supervised Tissue Classification of Chronic Wound Images with Deep Autoencoder
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-8237-5_70
Reference18 articles.
1. Lazarus, G.S., Cooper, D.M., Knighton, D.R., Margolis, D.J., Percoraro, R.E., Rodeheaver, G., Robson, M.C.: Definitions and guidelines for assessment of wounds and evaluation of healing. Wound Repair Regen. 2(3), 165–170 (1994)
2. Gethin, G., Cowman, S.: Wound measurement comparing the use of acetate tracings and VisitrakTM digital planimetry. J. Clin. Nurs. 15(4), 422–427 (2006)
3. Bowling, F., King, L., Fadavi, H., Paterson, J., Preece, K., Daniel, R., Matthews, D., Boulton, A.: An assessment of the accuracy and usability of a novel optical wound measurement system. Diabet. Med. 26(1), 93–96 (2009)
4. Berriss, W., Sangwine, S.: A colour histogram clustering technique for tissue analysis of healing skin wounds. In: International Conference on Image Processing and Its Applications, vol. 2, pp. 693–697. IET (1997)
5. Hoppe, A., Wertheim, D., Melhuish, J., Morris, H., Harding, K., Williams, R.: Computer assisted assessment of wound appearance using digital imaging. In: Proceedings of the 23rd Annual IEEE International Conference of the Engineering in Medicine and Biology Society, vol. 3, pp. 2595–2597. IEEE (2001)
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