Brain MRI Segmentation Using Pretrained 3-D U-Net Network

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https://www.mathworks.com/help/medical-imaging/ug/Brain-MRI-Segmentation-Using-Trained-3-D-U-Net.html 
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'downloadTrainedNetwork' is used in the following examples:
Brain MRI Segmentation Using Pretrained 3-D U-Net Network
Breast Tumor Segmentation from Ultrasound Using Deep Learning
Brighten Extremely Dark Images Using Deep Learning
Classify Hyperspectral Images Using Deep Learning
Classify Tumors in Multiresolution Blocked Images
Detect Image Anomalies Using Explainable One-Class Classification Neural Network
Develop Camera Processing Pipeline Using Deep Learning
Quantify Image Quality Using Neural Image Assessment
3-D Brain Tumor Segmentation Using Deep Learning
Segment Lungs from CT Scan Using Pretrained Neural Network
Semantic Segmentation of Multispectral Images Using Deep Learning
Unsupervised Medical Image Denoising Using CycleGAN
Unsupervised Medical Image Denoising Using UNIT
Unsupervised Day-to-Dusk Image Translation Using UNIT