[HTML][HTML] Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures
The potential and promise of deep learning systems to provide an independent assessment
and relieve radiologists' burden in screening mammography have been recognized in …
and relieve radiologists' burden in screening mammography have been recognized in …
Self-supervised learning for scanned halftone classification with novel augmentation techniques
The current halftone classification models use supervised learning, which requires a large
dataset of labeled images. However, in practical situations, the source halftone type is often …
dataset of labeled images. However, in practical situations, the source halftone type is often …
Mask-guided feature extraction and augmentation for ultra-fine-grained visual categorization
While the fine-grained visual categorization (FGVC) problems have been greatly developed
in the past years, the Ultra-fine-grained visual categorization (Ultra-FGVC) problems have …
in the past years, the Ultra-fine-grained visual categorization (Ultra-FGVC) problems have …