FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development

Author:

Gavrielides Marios A.,Kinnard Lisa M.,Myers Kyle J.,Zeng Rongping,Petrick Nicholas

Publisher

SPIE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A deep-learning based algorithm for image reconstruction in Compton tomography;2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA);2023-10-16

2. Tomographic reconstruction from sparse-view and limited-angle data using a generative adversarial network;2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2022-10

3. Statistical analysis of lung nodule volume measurements with CT in a large-scale phantom study;Medical Physics;2015-06-10

4. Evaluation of an Automatic Registration-Based Algorithm for Direct Measurement of Volume Change in Tumors;International Journal of Radiation Oncology*Biology*Physics;2012-07

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