Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou… - Medical …, 2019 - Wiley Online Library
Purpose To investigate the use and efficiency of 3‐D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual‐modality nonsmall cell …
被引用次数：93 相关文章

[引用][C] Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou… - Medical …, 2019 - ui.adsabs.harvard.edu
Simultaneous cosegmentation of tumors in PET - CT images using deep fully convolutional
networks - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …

Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen… - Medical …, 2019 - mdanderson.elsevierpure.com
Purpose: To investigate the use and efficiency of 3-D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell …

Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou, J Buatti… - Medical Physics, 2019 - par.nsf.gov
Purpose—To investigate the use and efficiency of 3-D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell …

Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou… - Medical physics …, 2019 - iro.uiowa.edu
To investigate the use and efficiency of 3-D deep learning, fully convolutional networks
(DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell lung cancer …
[HTML] nih.gov

[HTML][HTML] Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou… - Medical …, 2019 - ncbi.nlm.nih.gov
Purpose To investigate the use and efficiency of 3‐D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual‐modality nonsmall cell …

Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen… - Medical …, 2019 - pubmed.ncbi.nlm.nih.gov
Purpose To investigate the use and efficiency of 3-D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell …

Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou, J Buatti… - Medical Physics, 2019 - cir.nii.ac.jp
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Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks.

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou… - Medical …, 2019 - europepmc.org
Purpose To investigate the use and efficiency of 3-D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell …
[HTML] nih.gov

[HTML][HTML] Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks

Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou… - Medical …, 2019 - ncbi.nlm.nih.gov
Purpose To investigate the use and efficiency of 3-D deep learning, fully convolutional
networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell …