Quantifying U-Net Uncertainty in MRI-Based Meningioma Segmentation for Radiotherapy
Conferences
Wang, L; Yang, Z; LaBella, D; Reitman, ZJ; Ginn, J; Adamson, J; Lafata, K; Calabrese, E; Wang, C; Zhao, J
Published in: MEDICAL PHYSICS
September 2024
Duke Scholars
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Published In
MEDICAL PHYSICS
EISSN
2473-4209
ISSN
0094-2405
Publication Date
September 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
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Chicago
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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
September 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