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Found 7 papers, 1 papers with code
Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data
Furthermore, the proposed privacy-preserved orientation-level features are utilized to assist the position-level features in both of the two stages for enhancing medical action recognition performance.
Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequence
Based on TV-TRPCA, the accuracy of TSRG algorithm for vessel segmentation is further evaluated.
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
The proposed approach is demonstrated for automated fetal ultrasound imaging tasks, enabling the positive pairs from the same or different ultrasound scans that are anatomically similar to be pulled together and thus improving the representation learning.
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
This imaging application is characterized by large variations in data appearance and limited availability of labeled data.
Cross-Task Representation Learning for Anatomical Landmark Detection
The main idea of the proposed method is to retain the feature representations of the source model on the target task data, and to leverage them as an additional source of supervisory signals for regularizing the target model learning, thereby improving its performance under limited training samples.
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images
In this paper, we propose a novel multiprediction guided attention network (MPG-Net) for automated retinal layer segmentation in OCT images.
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition
We present ActionXPose, a novel 2D pose-based algorithm for posture-level Human Action Recognition (HAR).
