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Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
Springer, Cham, October 2019
Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-kan Tseng, Le Lu, Jin, Dakai, Guo, Dazhou, Ho, Tsung-Ying, Harrison, Adam P., Xiao, Jing, Tseng, Chen-kan, Lu, Le
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||11||26%|
|Student > Master||8||19%|
|Student > Postgraduate||3||7%|
|Student > Bachelor||2||5%|
|Readers by discipline||Count||As %|
|Medicine and Dentistry||4||9%|
|Agricultural and Biological Sciences||1||2%|
|Veterinary Science and Veterinary Medicine||1||2%|