References
[1]. Arnqvist, J., Hellgren, J., & Vincent, J. (1988,
November). Semiautomatic classification of secondary
healing ulcers in multispectral images. In Pattern
Recognition, 1988, 9th International Conference on (pp. 459-461). IEEE.
[2]. Bortoletto, M. S. S., de Andrade, S. M., Matsuo, T.,
Haddad, M. D. C. L., González, A. D., & Silva, A. M. R.
(2014). Risk factors for foot ulcers - A cross sectional survey
from a primary care setting in Brazil. Primary Care
Diabetes, 8(1), 71-76.
[3]. Buckley, K. M., Adelson, L. K., & Agazio, J. G. (2009).
Reducing the risks of wound consultation: Adding digital
images to verbal reports. Journal of Wound Ostomy &
Continence Nursing, 36(2), 163-170.
[4]. Cheng, Y. (1995). Mean shift, mode seeking, and
clustering. IEEE Transactions on Pattern Analysis and
Machine Intelligence, 17(8), 790-799.
[5]. Christoudias, C. M., Georgescu, B., & Meer, P. (2002).
Synergism in low level vision. In Pattern Recognition, 2002.
Proceedings. 16 International Conference on (Vol. 4,
pp. 150-155). IEEE.
[6]. Comaniciu, D., & Meer, P. (2002). Mean shift: A robust
approach toward feature space analysis. IEEE
Transactions on Pattern Analysis and Machine
Intelligence, 24(5), 603-619.
[7]. Debeir, O., Van Ham, P., Kiss, R., & Decaestecker, C.
(2005). Tracking of migrating cells under phase-contrast
video microscopy with combined mean-shift processes. IEEE Transactions on Medical Imaging, 24(6), 697-711.
[8]. Molines-Barroso, R. J., Lázaro-Martínez, J. L., Aragón-
Sánchez, F. J., Álvaro-Afonso, F. J., García-Morales, E., &
García-Álvarez, Y. (2016). Forefoot ulcer risk associated
with foot type in patients with diabetes and neuropathy.
Diabetes Research and Clinical Practice, 114, 93-98.
[9]. Muselaers, C. H., Boerman, O. C., Oosterwijk, E.,
Langenhuijsen, J. F., Oyen, W. J., & Mulders, P. F. (2013).
Indium-111–labeled girentuximab immuno SPECT as a
diagnostic tool in clear cell renal cell carcinoma.
European Urology, 63(6), 1101-1106.
[10]. Rees, R. S., & Bashshur, N. (2007). The effects of
TeleWound management on use of service and financial
outcomes. Telemedicine and e-Health, 13(6), 663-674.
[11]. Tilton, J. C., Tarabalka, Y., Montesano, P. M., &
Gofman, E. (2012). Best merge region-growing
segmentation with integrated nonadjacent region object
aggregation. IEEE Transactions on Geoscience and
Remote Sensing, 50(11), 4454-4467.
[12]. Wannous, H., Lucas, Y., Treuillet, S., & Albouy, B. (2008, October). A complete 3D wound assessment tool for accurate tissue classification and measurement. In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on (pp. 2928-2931). IEEE.
