Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer-Reference-Cited by-同舟云学术

Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer

Published:2021-05-14 Issue:6 Volume:48 Page:3084-3095
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Han Xu¹,Hong Jun²,Reyngold Marsha³,Crane Christopher³,Cuaron John³,Hajj Carla³,Mann Justin³,Zinovoy Melissa³,Greer Hastings¹,Yorke Ellen²,Mageras Gig²,Niethammer Marc¹

Affiliation:

1. Department of Computer Science University of North Carolina Chapel Hill NC27599USA

2. Department of Medical Physics Memorial Sloan Kettering Cancer Center New York NY10065USA

3. Department of Radiation Oncology Memorial Sloan Kettering Cancer Center New York NY10065USA

Funder

National Cancer Institute

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14906

Reference18 articles.

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2. Focal Radiation Therapy Dose Escalation Improves Overall Survival in Locally Advanced Pancreatic Cancer Patients Receiving Induction Chemotherapy and Consolidative Chemoradiation

3. Ablative radiation therapy for locally advanced pancreatic cancer: techniques and results

4. Networks for Joint Affine and Non-Parametric Image Registration

5. Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

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