A Two-Step Deep Learning Approach for Abdominal Organ Segmentation
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58776-4_5
Reference17 articles.
1. Bilic, P., et al.: The liver tumor segmentation benchmark (LiTS). Med. Image Anal. 84, 102680 (2023)
2. Clark, K., et al.: The cancer imaging archive (TCIA): maintaining and operating a public information repository. J. Digit. Imaging 26(6), 1045–1057 (2013)
3. Gatidis, S., et al.: The AutoPET challenge: towards fully automated lesion segmentation in oncologic PET/CT imaging. Preprint at Research Square (Nature Portfolio) (2023). https://doi.org/10.21203/rs.3.rs-2572595/v1
4. Gatidis, S., et al.: A whole-body FDG-PET/CT dataset with manually annotated tumor lesions. Sci. Data 9(1), 601 (2022)
5. Heller, N., et al.: The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: results of the KiTS19 challenge. Med. Image Anal. 67, 101821 (2021)
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