Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images

Author:

Iantsen AndreiORCID,Visvikis DimitrisORCID,Hatt MathieuORCID

Publisher

Springer International Publishing

Reference10 articles.

1. Andrearczyk, V., et al.: Overview of the HECKTOR challenge at MICCAI 2020: automatic Head and Neck Tumor Segmentation in PET/CT (2021)

2. Andrearczyk, V., et al.: Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans. In: Medical Imaging with Deep Learning (MIDL) (2020)

3. Menze, B.H., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34(10), 1993–2024 (2015)

4. Ulyanov, D., Vedaldi, A., Lempitsky, V.: Instance normalization: the missing ingredient for fast stylization, arXiv preprint arXiv:1607.08022 (2016)

5. Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks, CoRR, vol. abs/1709.01507 (2017). http://arxiv.org/abs/1709.01507

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