Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction.
Nikolaos NtampakisKonstantinos I. DiamantarasKonstantinos GoulianasIoanna ChouvardaVasileios ArgyriouPanagiotis G. SarigiannidisPublished in: MIUA (2) (2024)
Keyphrases
- deep learning
- preprocessing
- skin cancer
- unsupervised feature learning
- early detection
- unsupervised learning
- skin lesion
- machine learning
- breast cancer
- pigmented skin lesions
- data mining
- data sets
- mental models
- multiscale
- feature extraction
- dermoscopy images
- weakly supervised
- d objects
- viewpoint
- deep architectures
- computer vision