Rich and accurate medical image segmentation is poised to underpin the next generation of AI-defined clinical practice by delineating critical anatomy for pre-operative planning, guiding real-time ...
Summary: Researchers introduced a deep-learning artificial intelligence capable of predicting the molecular classification of brain and spinal cord tumors in minutes using standard, universally ...
nnUNet_BraTS2023_demo/ ├── env.sh # nnU-Net paths + W&B config (source it) ├── requirements.txt ├── nnunet_trainer/ │ └── nnUNetTrainerWandb250.py # custom trainer: 250 epochs + W&B logging ├── ...
The nurses, staff, and patients at the University of Alabama at Birmingham Hospital are gratefully acknowledged for their cooperation and willingness to contribute to this study. In addition, we ...
This work was supported by the National Natural Science Foundation of China (Grant No. 82220108013), the National Natural Science Foundation of China (Grant No. 81602049), the Guangdong Provincial ...
Abstract: In the clinic, brain tumor detection and semantic segmentation are critical tasks in medical image analysis, particularly in magnetic resonance imaging (MRI), which assists clinicians in ...
Abstract: Brain tumors pose a major threat to human health. Detecting it on time-to-time basis will result in improved survival rates of patients. Current methods of ...
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