Detection and classification of acne lesions in acne patients: A mobile application.
Nasim AlamdariKouhyar TavakolianMinhal AlhashimReza Fazel-RezaiPublished in: EIT (2016)
Keyphrases
- mobile applications
- digital mammograms
- decision trees
- automatic detection
- lung disease
- support vector machine
- computer aided detection
- classification accuracy
- false positives
- detection algorithm
- multiple sclerosis
- user experience
- object detection
- feature vectors
- mobile devices
- lesion segmentation
- mobile environments
- diabetic retinopathy
- clinical data
- mobile phone
- feature extraction
- computer aided diagnosis
- medical data
- m learning
- context aware
- feature space
- normal controls
- support vector