Matthew Field

Matthew Field

Director of AI Medicine and Engineering. Electrical engineer and AI researcher working across federated learning, medical image analysis, robotics, and healthcare data systems.

Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets

Published in Computerized Medical Imaging and Graphics, 2024

Authors: Phillip Chlap, Hang Min, Jason Dowling, Matthew Field, Kirrily Cloak, Trevor Leong, Mark Lee, Julie Chu, Jennifer Tan, Phillip Tran, Tomas Kron, Mark Sidhom, Kirsty Wiltshire, Sarah Keats, Andrew Kneebone, Annette Haworth, Martin A. Ebert, Shalini K. Vinod, Lois Holloway

Published in: Computerized Medical Imaging and Graphics

DOI / Publisher link: https://doi.org/10.1016/j.compmedimag.2024.102403

Keywords: Auto-segmentation, Deep learning, Uncertainty estimation, Radiotherapy, Clinical target volume, Gastric cancer, Prostate cancer

BibTeX: Download

Recommended citation: Phillip Chlap, Hang Min, Jason Dowling, Matthew Field, Kirrily Cloak, Trevor Leong, Mark Lee, Julie Chu, Jennifer Tan, Phillip Tran, Tomas Kron, Mark Sidhom, Kirsty Wiltshire, Sarah Keats, Andrew Kneebone, Annette Haworth, Martin A. Ebert, Shalini K. Vinod, Lois Holloway (2024). "Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets." Computerized Medical Imaging and Graphics. 116, 102403.
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