The Classification and Detection of Cyanosis Images on Lightly and Darkly Pigmented Individual Human Skins Applying Simple CNN and Fine-Tuned VGG16 Models in TensorFlow's Keras API.
Lukoki MpovaThokozani C. ShongweAli N. HasanPublished in: CIVEMSA (2023)
Keyphrases
- image classification
- classification models
- image data
- skin lesion
- image database
- image features
- fine tuned
- detection rate
- mammogram images
- decision trees
- input image
- ground truth
- discriminative classifiers
- three dimensional
- image registration
- edge detection
- outdoor images
- classification accuracy
- image retrieval
- image analysis
- object recognition
- feature extraction
- training set
- test images
- traffic signs
- decision level fusion
- detection algorithm
- segmentation algorithm
- text classification
- multiple classifiers
- fine tuning
- complex background
- cellular neural networks
- thematic mapper
- machine learning
- partial occlusion
- false positives
- probabilistic model
- feature vectors
- set of training images
- pigmented skin lesions
- extracted features
- bounding box
- human subjects
- segmentation method
- detection method
- model selection
- feature space
- feature selection