1. Mukherjee R, Manohar DD, Das DK, Achar A, Mitra A, Chakraborty C (2014) Automated tissue classification framework for reproducible chronic wound assessment. Biomed Res Int 2014:1–9
2. Fauzi MFA, Khansa I, Catignani K, Gordillo G, Sen CK, Gurcan MN (2015) Computerized segmentation and measurement of chronic wound images. Comput Biol Med 60:74–85. [Online]. Available:
http://www.sciencedirect.com/science/article/pii/S0010482515000645
3. Sen CK, Gordillo GM, Roy S, Kirsner R, Lambert L, Hunt TK, Gottrup F, Gurtner GC, Longaker MT (2009) Human skin wounds: a major and snowballing threat to public health and the economy. Wound Repair Regen 17(6):763–771. [Online]. Available:
https://doi.org/10.1111/j.1524-475X.2009.00543.x
4. Cuddigan J, Berlowitz DR, Ayello EA (2001) Pressure ulcers in america: prevalence, incidence, and implications for the future. Adv Skin Wound Care 14(4):208–215
5. Deprez JF, Cloutier G, Schmitt C, Gehin C, Dittmar A, Basset O, Brusseau E (2007) 3d ultrasound elastography for early detection of lesions. evaluation on a pressure ulcer mimicking phantom. In: 2007 29th annual international conference of the ieee engineering in medicine and biology society , pp 79–82