Automatic detection and tracking of marker seeds implanted in prostate cancer patients using a deep learning algorithm
Author:
Publisher
Medknow
Subject
Radiology, Nuclear Medicine and imaging,Biophysics
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Artificial intelligence‐based motion tracking in cancer radiotherapy: A review;Journal of Applied Clinical Medical Physics;2024-08-28
2. Prostate cancer grading framework based on deep transfer learning and Aquila optimizer;Neural Computing and Applications;2024-02-22
3. Impact of technological advances in treatment planning, image guidance, and treatment delivery on target margin design for prostate cancer radiotherapy: an updated review;British Journal of Radiology;2023-12-13
4. Research progress on deep learning in magnetic resonance imaging–based diagnosis and treatment of prostate cancer: a review on the current status and perspectives;Frontiers in Oncology;2023-06-13
5. Evaluation of deep learning based implanted fiducial markers tracking in pancreatic cancer patients;Biomedical Physics & Engineering Express;2023-03-07
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