Automated detection of diabetic foot with and without neuropathy using double density-dual tree-complex wavelet transform on foot thermograms

• Main Authors: Muhammad Adam, Ng, Eddie Yin Kwee, Oh, Shu Lih, Heng, Marabelle L., Hagiwara, Yuki, Tan, Jen Hong, Tong, Jasper W. K., Acharya, U. Rajendra
• 其他作者: School of Mechanical and Aerospace Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Mechanical engineering; Diabetic Foot; Neuropathy
• 在線閱讀: https://hdl.handle.net/10356/136849
• 機構: Nanyang Technological University

Diabetic foot is the most common problem among diabetic patients, mainly due to peripheral vascular and neuropathy induced capillary perfusion changes. These pathogenic factors cause superficial temperature changes that can be qualitatively and visually documented using infrared thermography (IRT)....