3D Interactive Segmentation
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1) Motivation, Object and Related works:
Motivation:
Objectives:
Inspired by the observation that iVOS pipeline can be directly applied to 3D medical images, we extend iSegFormer to interactive 3D medical image segmentation by combining it with an existing STCN model trained on videos, leading to a very promissing results even without fine-tuning.
2) Methodology:
Pre Processing:
References:
3D Interactive Interaction
A Web Interface for 3D Visualization and Interactive Segmentation of Medical Images: https://www.youtube.com/watch?v=KMRvHGKmhBk
Interactive 3D segmentation of medical images: https://www.youtube.com/watch?v=eIOy4BGOl1c
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning: https://www.youtube.com/watch?v=z9ouWEwyTPg
Others
Introduction to CT Chest - Anatomy and Approach: https://www.youtube.com/watch?v=tJPfcmA-WWs
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