社论:人工智能和机器学习在骨和软组织肿瘤成像中的应用进展。

Frontiers in radiology Pub Date : 2024-12-17 eCollection Date: 2024-01-01 DOI:10.3389/fradi.2024.1523389
Brandon K K Fields, Bino A Varghese, George R Matcuk
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Editorial: Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors.
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Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors. DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers. Editorial: Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors. Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network. Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network.
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