ZAP-2.5DSAM: zero additional parameters advancing 2.5D SAM adaptation to 3D tumor segmentation

Keyphrases

• Model Adaptation 100%
• Segment Anything Model 100%
• 3D Tumor Segmentation 100%
• GPU Memory 40%
• Segmentation Problem 20%
• Excellent Performance 20%
• Decomposition Scheme 20%
• Segmentation Accuracy 20%
• Memory Requirements 20%
• Natural Images 20%
• Parameter Tuning 20%
• Spatial Localization 20%
• Encoder 20%
• Nature Images 20%
• Design Basis 20%
• Annotated Dataset 20%
• 3D Segmentation 20%
• 3D Medical Image Segmentation 20%
• Medical Image 20%
• Training Parameters 20%
• Tuning Methods 20%
• Domain Gap 20%
• Robust Generalization 20%
• Spatial Information Modeling 20%
• Tuning Framework 20%
• 3D Medical Images 20%
• 2D Segmentation 20%
• Adapter Module 20%

Engineering

• Graphics Processing Unit 100%
• Medical Image 100%
• Adaptation Models 100%
• Direct Application 50%
• Limitations 50%
• Memory Requirement 50%
• Natural Image 50%
• Spatial Information 50%
• Medical Image Segmentation 50%
• Additional Component 50%
• Spatial Localization 50%

Computer Science

• Model Adaptation 100%
• Tumor Segmentation 100%
• Segment Anything Model 100%
• Graphics Processing Unit 40%
• Image Segmentation 20%
• Segmentation Task 20%
• Memory Requirement 20%
• Spatial Information 20%
• Outstanding Performance 20%
• Spatial Localization 20%
• segmentation accuracy 20%
• Information Modeling 20%
• 3D Segmentation 20%