Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images.
Flavia GrignaffiniMaurizio TroianoFrancesco BarbutoPatrizio SimeoniFabio ManginiGabriele D'AndreaLorenzo PiazzoCarmen CantisaniNoah MusolffCostantino RicciutiFabrizio FrezzaPublished in: Algorithms (2023)
Keyphrases
- preprocessing
- anomaly detection
- image features
- extracted features
- segmentation method
- one class support vector machines
- skin lesion
- feature set
- edge detection
- classification accuracy
- pairwise
- network intrusion detection
- detection method
- feature extraction
- quantitative evaluation
- convolutional neural network
- intrusion detection
- detect anomalies
- anomalous behavior
- early detection
- network security
- gabor filters
- intrusion detection system
- neural network
- unsupervised learning
- digital images
- image analysis
- feature space
- object recognition
- image processing