Harnessing Convolutional Neural Networks for Diagnosing Post-SBRT Radiation-Induced Lung Injury From X-Ray CT-Reference-Cited by-同舟云学术

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Harnessing Convolutional Neural Networks for Diagnosing Post-SBRT Radiation-Induced Lung Injury From X-Ray CT

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Veasey Benjamin P.¹,Ghazipour Aryan¹,Settle Tyler¹,Daugherty Emily C.²,Keltner Samuel²,Kumar Nitin²,Ververs James³,Farris Michael³,Dunlap Neal⁴,Amini Amir A.¹

Affiliation:

1. University of Louisville,Medical Imaging Lab,Louisville,KY

2. University of Cincinnati College of Medicine,Department of Radiation Oncology,Cincinnati,OH

3. Wake Forest University School of Medicine,Department of Radiation Oncology,Winston-Salem,NC

4. University of Louisville Hospital,Department of Radiation Oncology,Louisville,KY

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635837.pdf?arnumber=10635837

Reference16 articles.

1. Radiation-Induced Lung Injury

2. Diagnostic imaging of post-irradiation changes in the chest

3. Effects of Radiation Therapy on the Lung: Radiologic Appearances and Differential Diagnosis

4. Radiation-induced lung injury and misdiagnosis rate after SBRT

5. Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer

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