Combining nnUNet and AutoML for Automatic Head and Neck Tumor Segmentation and Recurrence-Free Survival Prediction in PET/CT Images
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Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27420-6_19
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1. Automatic delineation and prognostic assessment of head and neck tumor lesion in multi-modality positron emission tomography / computed tomography images based on deep learning: A survey;Neurocomputing;2024-12
2. Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT;Lecture Notes in Computer Science;2023
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