Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149351/1/mp13497.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149351/2/mp13497_am.pd
Machine learning has shown great potential as a step in automating radiotherapy treatment planning. ...
La radiothérapie pulmonaire est le traitement de référence chez les patients porteurs d’un cancer br...
Purpose: to assess the likelihood of local recurrence of lung malignancies following stereotactic ab...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155503/1/mp13570_am.pdfhttps://deepblu...
Radiation pneumonitis (RP) is a potentially fatal side effect arising in lung cancer patients who re...
Radiation therapy (radiotherapy) together with surgery, chemotherapy, and immunotherapy are common m...
To develop a patient-specific 'big data' clinical decision tool to predict pneumonitis in stage I no...
Purpose: To develop a deep learning model that combines CT and radiation dose (RD) images to predict...
Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques ...
Machine learning technology has a growing impact on radiation oncology with an increasing presence i...
Artificial intelligence, and in particular deep learning using convolutional neural networks, has be...
Artificial intelligence, and in particular deep learning using convolutional neural networks, has be...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145237/1/mp12967_am.pdfhttps://deepblu...
The investment in proton radiation therapy raises the question of how cancer patients should be pri...
Radiation pneumonitis (RP) is one of the major toxicities of thoracic radiation therapy. RP incidenc...
Machine learning has shown great potential as a step in automating radiotherapy treatment planning. ...
La radiothérapie pulmonaire est le traitement de référence chez les patients porteurs d’un cancer br...
Purpose: to assess the likelihood of local recurrence of lung malignancies following stereotactic ab...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155503/1/mp13570_am.pdfhttps://deepblu...
Radiation pneumonitis (RP) is a potentially fatal side effect arising in lung cancer patients who re...
Radiation therapy (radiotherapy) together with surgery, chemotherapy, and immunotherapy are common m...
To develop a patient-specific 'big data' clinical decision tool to predict pneumonitis in stage I no...
Purpose: To develop a deep learning model that combines CT and radiation dose (RD) images to predict...
Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques ...
Machine learning technology has a growing impact on radiation oncology with an increasing presence i...
Artificial intelligence, and in particular deep learning using convolutional neural networks, has be...
Artificial intelligence, and in particular deep learning using convolutional neural networks, has be...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145237/1/mp12967_am.pdfhttps://deepblu...
The investment in proton radiation therapy raises the question of how cancer patients should be pri...
Radiation pneumonitis (RP) is one of the major toxicities of thoracic radiation therapy. RP incidenc...
Machine learning has shown great potential as a step in automating radiotherapy treatment planning. ...
La radiothérapie pulmonaire est le traitement de référence chez les patients porteurs d’un cancer br...
Purpose: to assess the likelihood of local recurrence of lung malignancies following stereotactic ab...
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