title: Computer Vision Algorithms in the Detection of Diabetic Foot Ulceration: A New Paradigm for Diabetic Foot Care?
authors.affiliation: School of Computing, Mathematics and Digital Technology, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.
authors.forename: Moi Hoon
authors.initials: MH
authors.lastname: Yap
authors.affiliation: School of Computing, Mathematics and Digital Technology, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.
authors.forename: Choon-Ching
authors.initials: CC
authors.lastname: Ng
authors.affiliation: School of Healthcare Science, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.
authors.forename: Katie
authors.initials: K
authors.lastname: Chatwin
authors.affiliation: School of Healthcare Science, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.
authors.forename: Caroline A
authors.initials: CA
authors.lastname: Abbott
authors.affiliation: Faculty of Medical & Human Sciences, University of Manchester, Manchester, UK.
authors.forename: Frank L
authors.initials: FL
authors.lastname: Bowling
authors.affiliation: Faculty of Medical & Human Sciences, University of Manchester, Manchester, UK.
authors.forename: Andrew J M
authors.initials: AJ
authors.lastname: Boulton
authors.affiliation: School of Healthcare Science, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK N.Reeves@mmu.ac.uk.
authors.forename: Neil D
authors.initials: ND
authors.lastname: Reeves
mesh_terms: D000465:Algorithms; D034201:Computers, Handheld; D017719:Diabetic Foot / Q000175:diagnosis*; D006801:Humans; D012984:Software
keywords: app; computer vision; foot; iPad; ulcer