Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning.
- DOI
- 10.1088/1361-6560/ac65d6
- Published
- 2022 Apr 27
- Container
- Physics in medicine and biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1088/1361-6560/ac65d6,
title = {Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning.},
author = {Dal Toso L and Chalampalakis Z and Buvat I and Comtat C and Cook G and Goh V and Schnabel JA and Marsden PK},
year = {2022},
journal = {Physics in medicine and biology},
doi = {10.1088/1361-6560/ac65d6},
url = {https://doi.org/10.1088/1361-6560/ac65d6}
}RIS
TY - JOUR TI - Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning. AU - Dal Toso L AU - Chalampalakis Z AU - Buvat I AU - Comtat C AU - Cook G AU - Goh V AU - Schnabel JA AU - Marsden PK PY - 2022 JO - Physics in medicine and biology DO - 10.1088/1361-6560/ac65d6 UR - https://doi.org/10.1088/1361-6560/ac65d6 ER -
APA
L, D. T., Z, C., I, B., C, C., G, C., V, G., JA, S., & PK, M. (2022). Improved 3D tumour definition and quantification of uptake in simulated lung tumours using deep learning.. Physics in medicine and biology. https://doi.org/10.1088/1361-6560/ac65d6
Source records
- pubmed · retrieved 2026-09-27T11:27:12.633Z