The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation
Open accessAbstract
This paper describes the setup of a segmentation competition for the automatic extraction of Multiple Sclerosis (MS) lesions from brain Magnetic Resonance Imaging (MRI) data. This competition is one of three competitions that make up a comparison workshop at the 2008 Medical Image Computing and Computer Assisted Intervention (MICCAI) conference and was modeled after the successful comparison workshop on liver and caudate segmentation at the 2007 MICCAI conference. In this paper, the rationale for organizing the competition is discussed, the training and test data sets for both segmentation tasks are described and the scoring system used to evaluate the segmentation is presented.
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Cites
Nonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265
Warfield, S. K., Zou, K. H., & Wells, W. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.828354 · Cited by 2,072
Self-citation
Cited by
The multimodal brain tumor image segmentation benchmark (BRATS)
Menze, B. H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R., et al. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2377694 · Cited by 6,781
Brosch, T., Tang, L. Y. W., Yoo, Y., Li, D. K. B., Traboulsee, A., & Tam, R. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2528821 · Cited by 460
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Carass, A., Roy, S., Jog, A., Cuzzocreo, J. L., Magrath, E., Gherman, A., Button, J., Nguyen, J., Prados, F., Sudre, C. H., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.064 · Cited by 357
Self-citationKuijf, H. J., Casamitjana, A., Collins, D. L., Dadar, M., Georgiou, A., Ghafoorian, M., Jin, D., Khademi, A., Knight, J., Li, H., et al. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2905770 · Cited by 292
Hiasa, Y., Otake, Y., Takao, M., Ogawa, T., Sugano, N., & Sato, Y. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2940555 · Cited by 157
Metadata
- Authors
- Styner, M., Lee, J., Chin, B., Chin, M. S., Commowick, O., Tran, H.-H., Markovic-Plese, S., Jewells, V., & Warfield, S.
- Venue
- The MIDAS Journal
- Published
- 2008-11-05
- OpenAlex
- W4205923499
- Cited by
- 167
- References
- 2
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- gold
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- Styner, M., Lee, J., Chin, B., Chin, M. S., Commowick, O., Tran, H.-H., Markovic-Plese, S., Jewells, V., & Warfield, S. (2008). 3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation. The MIDAS Journal. https://doi.org/10.54294/lmkqvm
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