A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study
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A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung CancerRadiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features.Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging Network.Validation of a method for retroperitoneal tumor segmentation.
P2860
A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study
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2016 nî lūn-bûn
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2016年の論文
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2016年論文
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2016年論文
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2016年論文
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2016年論文
@zh-mo
2016年論文
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2016年论文
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2016年论文
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2016年论文
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name
A Comparison of Lung Nodule Se ...... om a Multi-institutional Study
@ast
A Comparison of Lung Nodule Se ...... om a Multi-institutional Study
@en
type
label
A Comparison of Lung Nodule Se ...... om a Multi-institutional Study
@ast
A Comparison of Lung Nodule Se ...... om a Multi-institutional Study
@en
prefLabel
A Comparison of Lung Nodule Se ...... om a Multi-institutional Study
@ast
A Comparison of Lung Nodule Se ...... om a Multi-institutional Study
@en
P2093
P2860
P1476
A Comparison of Lung Nodule Se ...... om a Multi-institutional Study
@en
P2093
Binsheng Zhao
Dmitry Goldgof
Jayashree Kalpathy-Cramer
Robert Gillies
Sandy Napel
Xingwei Wang
Yongqiang Tan
P2860
P2888
P304
P356
10.1007/S10278-016-9859-Z
P577
2016-02-03T00:00:00Z