T. Le

SOTS: Leveraging Self-supervised Pretraining for Label-Efficient Ovarian Tumor Segmentation in Ultrasound Images.

A Novel Dataset and Practical Deployment for Gesture-Based Human-Collaborative Robot Interaction

Collaborative robot or COBOT has emerged as a key advancement in robotics, significantly transforming industrial automation. Consequently, real-time gesture recognition for human-COBOT interaction has recently garnered significant attention. However, both datasets designed for practical robot control scenarios and end-...

CSA-SegNet: enhancing ovarian tumor segmentation from ultrasound images with spatial pooling and contour-based loss functions

A new loss function is proposed that enhances conventional loss functions such as IoU loss, SSIM Loss, and Focal loss function with Active Contour Euler Elastical loss with effectiveness in enhancing segmentation accuracy and boundary delineation of ovarian ultrasound images.