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Detection of brain metastases (BM) and segmentation for treatment planning could be optimized with machine learning methods. Convolutional neural networks (CNNs) are promising, but their trade‐offs between sensitivity and precision… Click to show full abstract
Detection of brain metastases (BM) and segmentation for treatment planning could be optimized with machine learning methods. Convolutional neural networks (CNNs) are promising, but their trade‐offs between sensitivity and precision frequently lead to missing small lesions.
Keywords:
automated detection;
brain metastases;
detection brain;
convolutional neural
Journal Title: Journal of Magnetic Resonance Imaging
Year Published: 2022
Link to full text (if available)
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Journal Title: Journal of Magnetic Resonance Imaging
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!