Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis

Keyphrases

• 2D Image 33%
• Brain Age Prediction 33%
• Brain Disease Diagnosis 33%
• Brain Magnetic Resonance Imaging 100%
• Brain Tumor Segmentation (BraTS) 33%
• Classification Task 33%
• D-form 33%
• Data-driven Deep Learning 33%
• Deep Learning Model 33%
• Downstream Task 33%
• Encoding Vector 33%
• Good Performance 33%
• High-level Representation 33%
• Image Dataset 33%
• Image Slices 33%
• Imaging Research 33%
• In(III) 33%
• Magnetic Resonance Imaging Analysis 100%
• Medical Dataset 33%
• Medical Image Analysis 33%
• Medical Transformer 100%
• Multiview Approach 33%
• Normal Brain 33%
• Number of Parameters 33%
• Parameter-efficient Training 33%
• Partial Training 33%
• Proxy Task 33%
• Regression Task 33%
• Segmentation Task 33%
• Self-supervised Learning 33%
• Source Model 33%
• Spatial Relations 33%
• Training Data 33%
• Training Samples 33%
• Transfer Learning 33%
• Transfer Learning Framework 33%
• Transfer Learning Models 33%
• Universal Decoders 100%
• Volumetric Images 33%

Computer Science

• Brain Age Prediction 33%
• Brain Disease 33%
• Classification Task 33%
• Deep Learning Model 33%
• Experimental Result 33%
• Good Performance 33%
• Image Analysis 33%
• Learning Framework 33%
• Regression Task 33%
• Segmentation Task 33%
• Self-Supervised Learning 33%
• Spatial Relation 33%
• Training Data 33%
• Training Sample 33%
• Transfer Learning 100%
• Tumor Segmentation 33%

Neuroscience

• Brain Age 33%
• Brain Disease 33%
• Intracranial Tumor 33%
• Magnetic Resonance Imaging 100%
• Self-Supervised Learning 33%