BrainTumorNet: Multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images

Keyphrases

• Magnetic Resonance Imaging 100%
• Brain Metastases 100%
• High-grade Glioma 100%
• Glioblastoma Metastasis 100%
• Joint Segmentation 100%
• Multi-task Learning 100%
• Segmentation Problem 75%
• Metastasis 50%
• Specific Task 50%
• Multi-task 50%
• Dice Score 50%
• Joint Training 50%
• Tumor 25%
• Tumor Subtype 25%
• Radiation Oncology 25%
• Whole Tumor 25%
• Primary Brain Tumor 25%
• Brain Tumor 25%
• Multiparametric MRI (mpMRI) 25%
• Magnetic Resonance Imaging Scan 25%
• Multiple Tumors 25%
• Specific Model 25%
• Unified Model 25%
• Tumor Segmentation 25%
• High Heterogeneity 25%
• Deep Learning Model 25%
• Training Tasks 25%
• Computation Overhead 25%
• Learning Scheme 25%
• Glioma Segmentation 25%
• Hard Parameter Sharing 25%
• Secondary Brain Tumor 25%
• Hybrid Data 25%

Computer Science

• Segmentation Task 100%
• Multitask Learning 100%
• Tumor Segmentation 33%
• Trained Network 33%
• Deep Learning Model 33%
• Baseline Model 33%
• Learning Scheme 33%

Neuroscience

• Intracranial Tumor 100%
• Magnetic Resonance Imaging 50%