Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold.
Olusola Oluwakemi Abayomi-AlliRobertas DamaseviciusSanjay MisraRytis MaskeliunasAdebayo Abayomi-AlliPublished in: Turkish J. Electr. Eng. Comput. Sci. (2021)
Keyphrases
- lower dimensional
- skin lesion
- low dimensional
- high dimensional
- image data
- image features
- image representation
- higher dimensional
- multiscale
- original data
- skin cancer
- input image
- high dimensional data
- principal component analysis
- feature space
- image classification
- dimensionality reduction
- image retrieval
- latent space
- image segmentation
- manifold embedding
- malignant melanoma
- low dimensional manifolds
- manifold alignment
- random projections
- breast cancer
- manifold learning
- parameter space
- embedding space
- vector space
- knn
- digital mammograms
- training set
- image processing
- neural network