Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy
Publication
, Conference
Wang, L; Yang, Z; LaBella, D; Reitman, ZJ; Ginn, J; Adamson, J; Lafata, K; Calabrese, E; Wang, C; Zhao, J
Published in: MEDICAL PHYSICS
2024
Duke Scholars
Published In
MEDICAL PHYSICS
EISSN
2473-4209
ISSN
0094-2405
Publication Date
2024
Volume
51
Issue
9
Start / End Page
6600 / 6600
Related Subject Headings
- Nuclear Medicine & Medical Imaging
- 5105 Medical and biological physics
- 4003 Biomedical engineering
- 1112 Oncology and Carcinogenesis
- 0903 Biomedical Engineering
- 0299 Other Physical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Wang, L., Yang, Z., LaBella, D., Reitman, Z. J., Ginn, J., Adamson, J., … Zhao, J. (2024). Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy. In MEDICAL PHYSICS (Vol. 51, pp. 6600–6600).
Wang, L., Z. Yang, D. LaBella, Z. J. Reitman, J. Ginn, J. Adamson, K. Lafata, E. Calabrese, C. Wang, and J. Zhao. “Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy.” In MEDICAL PHYSICS, 51:6600–6600, 2024.
Wang L, Yang Z, LaBella D, Reitman ZJ, Ginn J, Adamson J, et al. Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy. In: MEDICAL PHYSICS. 2024. p. 6600–6600.
Wang, L., et al. “Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy.” MEDICAL PHYSICS, vol. 51, no. 9, 2024, pp. 6600–6600.
Wang L, Yang Z, LaBella D, Reitman ZJ, Ginn J, Adamson J, Lafata K, Calabrese E, Wang C, Zhao J. Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy. MEDICAL PHYSICS. 2024. p. 6600–6600.
Published In
MEDICAL PHYSICS
EISSN
2473-4209
ISSN
0094-2405
Publication Date
2024
Volume
51
Issue
9
Start / End Page
6600 / 6600
Related Subject Headings
- Nuclear Medicine & Medical Imaging
- 5105 Medical and biological physics
- 4003 Biomedical engineering
- 1112 Oncology and Carcinogenesis
- 0903 Biomedical Engineering
- 0299 Other Physical Sciences