Optimizing knowledge distillation for efficient breast ultrasound image segmentation: Insights and performance enhancement
Most modern models designed for ultrasound (US) image segmentation are characterized
by high computational and memory requirements, limiting their practical utility in point-of …
by high computational and memory requirements, limiting their practical utility in point-of …
Contrastive Learning For Medical Imaging
HMP Figueiras - 2023 - search.proquest.com
Self-supervised learning has proven to be an effective way to learn representations in
domains where annotated labels are scarce, such as medical imaging. A widely adopted …
domains where annotated labels are scarce, such as medical imaging. A widely adopted …