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Q47894839-9803B8E2-DE4A-4524-AF07-D811DEE074EC
Q47894839-9803B8E2-DE4A-4524-AF07-D811DEE074EC
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http://www.wikidata.org/entity/statement/Q47894839-9803B8E2-DE4A-4524-AF07-D811DEE074EC
Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
P2860
Q47894839-9803B8E2-DE4A-4524-AF07-D811DEE074EC
BestRank
Statement
http://www.wikidata.org/entity/statement/Q47894839-9803B8E2-DE4A-4524-AF07-D811DEE074EC
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type
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wasDerivedFrom
caa26bb5ffbf9aa56b77489549991723b7074664
P2860
Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network-A Pilot Study.