title: An improved automated type-based method for area assessment of wound surface.
abstract: Accurate and precise wound measurements are a critical component of wound detection and assessment. Digital cameras are convenient and objective tools that are being increasingly used worldwide to assist with wound measurements and assessments. However, heterogeneous wounds and poor lighting conditions continue to be obstacles to wound area recognition. This study, therefore, provides an improved automated type-based wound area assessment method that is robust to lighting conditions and can distinguish between different wound tissues based on wound colors. The results of both laboratory and clinical applications of the proposed method show excellent consistency of manual area measurements. This proposed technology is expected to provide wound care specialists with more clinical information about heterogeneous wounds, thereby enabling prospective cost savings for therapy and treatment.
authors.affiliation: Department of Plastic Surgery & Burn, Peking University First Hospital, Beijing, People's Republic of China.|Diabetic Foot Treatment & Prevention Center, Peking University First Hospital, Beijing, People's Republic of China.
authors.forename: Xin
authors.initials: X
authors.lastname: Qi
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China.
authors.forename: Lian
authors.initials: L
authors.lastname: Ding
authors.affiliation: Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China.
authors.forename: Wenjian
authors.initials: W
authors.lastname: Huang
authors.affiliation: Department of Plastic Surgery & Burn, Peking University First Hospital, Beijing, People's Republic of China.|Diabetic Foot Treatment & Prevention Center, Peking University First Hospital, Beijing, People's Republic of China.
authors.forename: Bing
authors.initials: B
authors.lastname: Wen
authors.affiliation: Diabetic Foot Treatment & Prevention Center, Peking University First Hospital, Beijing, People's Republic of China.|Department of Endocrinology, Peking University First Hospital, Beijing, People's Republic of China.
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Guo
authors.affiliation: Diabetic Foot Treatment & Prevention Center, Peking University First Hospital, Beijing, People's Republic of China.|Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China.|College of Engineering, Peking University, Beijing, People's Republic of China.
authors.forename: Jue
authors.initials: J
authors.lastname: Zhang
mesh_terms: D001837:Body Weights and Measures / Q000379:methods*; D003116:Color; D006801:Humans; D007091:Image Processing, Computer-Assisted; D010781:Photography / Q000379:methods*; D012871:Skin Diseases / Q000000981:diagnostic imaging*; D014945:Wound Healing; D014947:Wounds and Injuries / Q000000981:diagnostic imaging*