IEEE

Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation

Abstract: Test-time medical image segmentation is a critical component in clinical practice, enabling pre-trained medical segmentation models to effectively adapt unseen medical samples with potential ...
IEEE

Semantic Segmentation Using Enhanced Super-Resolution Generative Adversarial Network ...

Abstract: In this research, we conduct image segmentation using DeepLabv3+ and SUIM-Net models based on super-resolution images generated using an Enhanced Super-Resolution Generative Adversarial ...