178
Views
9
CrossRef citations to date
0
Altmetric
Articles

Image registration for varicose ulcer classification using KNN classifier

&
Pages 88-97 | Received 10 Dec 2016, Accepted 01 Aug 2017, Published online: 31 Oct 2017

References

  • David J, Margolis MD, Julia H, et al. Management of chronic venous leg ulcers: a literature-guided approach. Clin Dermatol. 1994 Jan–Mar;12(1):19–26.
  • Olin JW, Beusterien KM, Childs MB, et al. Medical costs of treating venous stasis ulcers: evidence from a retrospective cohort study. Vasc. Med. 1999;4:1–7.
  • Severens J. Kosten van decubitus in nederland. Nijmegen: Tech. Rep., Afdeling MTA, Univ. Medisch Centrum Radboud; 1999.
  • Stratton R, Green C, Elia M, editors. Disease-related malnutrition: an evidence-based approach to treatment. Wallingford: CABI; 2003.
  • Zheng H, Bradley L, Patterson D, et al. New protocol for leg ulcer tissue classification from colour images. IEEE Explore Digital Library; 2004.10.1109/IEMBS.2004.1403432
  • Houghton PE, Kincaid CB, Campbell KE, et al.. Photographic assessment of the appearance of chronic pressure and leg ulcers. Ostomy Wound Manage. 2000;46(4):20–26, 28–30.
  • Nayak R, Kumar P, Galigekere RR. Towards a comprehensive assessment of wound-composition using color-image processing. Proceedings of the IEEE International Conference on Image Processing (ICIP ‘09); 2009 Nov. p. 4185–4188.10.1109/ICIP.2009.5414527
  • Mukherjee R, Manohar DD, Das DK, et al. Automated tissue classification framework for reproducible chronic wound assessment. 2014 Jul 8; doi:10.1155/2014/851582. PMCID:PMC4121018.
  • Latha GMD, Raja KB. Region based light absorption technique with image segmentation for tissue classification. AJSSH. 2016;6(cs1):46–58. ISSN 2249-7315. doi:10.5958/2249-7315.2016.00944.810.5958/2249-7315.2016.00944.8
  • Zheng H, Bradley L, Patterson D, et al. New protocol for leg ulcer tissue classification from colour images. IEMBS ‘04. 26th Annual International Conference of the IEEE in Engineering in Medicine and Biology Society; 2004.
  • Galushka M, Zheng H, Patterson D, et al. Case-based tissue classification for monitoring leg ulcer healing. Proceedings of the 18th IEEE Symposium on Computer-based Medical Systems; 2005.
  • Perez AA, Gonzaga A, Alves JM. Segmentation and analysis of leg ulcers color images. Proceedings of the International Workshop on Medical Imaging and Augmented Reality; 2001.
  • Hashimoto E, Ishikawa M, Shinoda K, et al. Tissue classification of liver pathological tissue specimens image using spectral features. In SPIE Medical Imaging. 2013 March 2017 (pp. 101400Z–101400Z).
  • Hachama M, Desolneux A, Richard FJP. Bayesian technique for image classifying registration. IEEE Trans Image Process. 2012 Sept;21(9):4080–4091.10.1109/TIP.2012.2200495
  • Cuddigan J, Ayello E, Sussman C, editors. Pressure ulcers in America: prevalence, incidence, and implications for the future. Reston (VA): NPUAP; 2001.
  • Beeckman D, Schoonhoven L, Fletcher J, et al. EPUAP classification system for pressure ulcers: European reliability study. J Adv Nursing. 2007 Dec;60(6):682–691.10.1111/jan.2007.60.issue-6
  • Edsberg LE. Pressure ulcer tissue histology: an appraisal of current knowledge. Ostomy/Wound Manage. 2007 Oct;53(10):40–49.
  • Brown L. A survey of image registration techniques. ACM Comput Surveys. 1992;24(4):325–376.10.1145/146370.146374
  • Hill D, Batchelor P, Holden M, et al. Medical image registration. Phys Med Biol. 2001;46(3):R1–R45.10.1088/0031-9155/46/3/201
  • Maintz J, Viergever M. A survey of medical image registration. Med Image Anal. 1998;2(1):1–36.
  • Pluim JPW, Maintz J, Viergever M. Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging. 2003 Aug;22(8):986–1004.10.1109/TMI.2003.815867
  • Modersitzki J. Numerical methods for image registration (Numerical mathematics and scientific computation), Golub CSGH, Suli E, editors. New York (NY): Oxford University Press; 2004.
  • Goshtasby A. 2-D and 3-D image registration for medical, remote sensing, and industrial applications. Hoboken (NJ): Wiley Press; 2005.
  • Khunt DP, Makwana YN. Image registration using intensity based technique. J Inf Knowledge Res Electron Commun Eng. 2012;2(02):607.
  • Viola PA, Wells WM. Alignment by maximization of mutual information. Int J Comput Vision. 1997;24(2):137–154.10.1023/A:1007958904918
  • Ulysses JN, Conci A. Measuring similarity in medical registration. IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing; 2010.
  • Pluim JPW, Maintz JBA, Viergever MA. Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging. 2003;22(8):986–1004.10.1109/TMI.2003.815867
  • Hachama M, Desolneux A, Richard F. Combining registration and abnormality detection in mammography. Proceedings of the Workshop on Biomed. Image Regist. 2006;4057:178–185.10.1007/11784012
  • Hachama H, Richard F, Desolneux A. A mammogram registration technique dealing with outliers. Proceedings of the IEEE International Symposium on Biomed Imaging; 2006, p. 458–461.
  • Huang J, Kumar SR, Mitra M, et al. Image Indexing Using Color Correlograms. Ithaca, NY: Cornell University; 1997.10.1109/CVPR.1997.609412
  • Keen N. Color moments. ID: 0341091; 2005, Feb 10.
  • Marsilin JR,. Wiselin Jiji G. An efficient CBIR approach for diagnosing the stages of breast cancer using KNN classifier. Bonfring International Journal of Advances in Image Processing. 2012;2(1):1.10.9756/BIJAIP
  • Kumar KS, Reddy BE. Digital analysis of changes in chronic wounds through image processing. Int J Signal Process Image Process Pattern Recognit. 2013;6(5):367–380.10.14257/ijsip
  • Tan P-N, Steinbach M, Kumar V. Introduction to data mining. Noida: Pearson Addison-Wesley; 2006.
  • Hazem W, Yves L, Sylvie T. Enhanced assessment of the wound-healing process by accurate multiview tissue classification. IEEE Trans Med Imaging. 2011;30(2):315–326.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.