Publication: 3763

Publication: 3763

Convolutional neural networks for the automated segmentation of malignant pleural mesothelioma: analysis of performance based on probability map threshold (Alliance)

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Citation:: Med Phys vol 49 (6 ) pp e680-e681

Meeting Instance:: AAPM 2022
Year:: 2022
Type:: Abstract
Sub type:: ePoster
Funding:: NCTN
Endpoint:: Secondary-not-in-original
Analysis:: Primary
Data Sharing:: No-Data-Sharing
Status:: Presented/Published
Citation Status:: epub-ppub

Note:

Methodological:: No
Biospecimen:: No
SDC:: No

Parents:: None
Children:: 3822

Program:: OGC
Primary Committee:: Respiratory
Sec. Committees:

Pharmas:
Grants:: U10CA180821, U10CA180882

Corr. Author:
Authors:: Mena Shenouda Eyjólfur Guðmundsson Feng Li Christopher Straus Hedy L. Kindler Arkadiusz Z. Dudek Thomas E. Stinchcombe Xiaofei Wang Adam Starkey Samuel G. Armato III

Networks:: LAPS-IL057, LAPS-MN026, LAPS-NC010

Study: CALGB-30901
Multiple Studies, or Legacy Studies in Alliance Study:
Phases:: 2

Keywords:: CNNs, probability maps, CT, thresholds, MPM, tumor volume