A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images.
Amith KhandakarMuhammad Enamul Hoque ChowdhuryMamun Bin Ibne ReazSawal Hamid Md. AliSerkan KiranyazTawsifur RahmanMoajjem Hossain ChowdhuryMohamed Arselene AyariRashad AlfkeyAhmad Ashrif A. BakarRayaz A. MalikAnwarul HasanPublished in: Sensors (2022)
Keyphrases
- machine learning
- image classification
- image data
- image retrieval
- image analysis
- decision trees
- image database
- input image
- image features
- test images
- machine learning methods
- supervised machine learning
- machine learning algorithms
- feature selection
- text classification
- pattern recognition
- handwritten digits
- image matching
- ground truth
- feature extraction
- supervised learning
- preprocessing stage
- three dimensional
- feature vectors
- classification accuracy
- image registration
- unsupervised learning
- image collections
- edge detection
- text mining
- support vector machine
- active learning
- feature space
- object recognition
- similarity measure
- thematic mapper
- skin lesion
- gabor filters
- pigmented skin lesions
- image annotation
- visual features
- feature points
- training set
- image sequences
- computer vision
- learning algorithm