Area Determination Of Diabetic Foot Ulcer Images Using A Cascaded Two-Stage Svm Based Classification.(Sep 2017)
The mainstay of the project is to determine the wound boundary on a foot ulcer image.
Recognition scheme based on machine learning was applied to wound tissue classification and indirect wound area determination (by grouping all the regions classified as one type of wound tissue). Generally, these approaches consist of following three key steps: Step 1: image segmentation; Step 2: feature extraction within each segment; and Step 3: classifier training on a large number of features from either the wound or non-wound segments.