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Response to "Comments on 'Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy"'.

作者信息

Terunuma Toshiyuki, Sakae Takeji

机构信息

Faculty of Medicine, University of Tsukuba, Ten-nohdai 1-1-1, Tsukuba, 305-8575, Japan.

出版信息

Radiol Phys Technol. 2018 Sep;11(3):362-363. doi: 10.1007/s12194-018-0471-4. Epub 2018 Aug 12.

DOI:10.1007/s12194-018-0471-4
PMID:30101396
Abstract
摘要

相似文献

1
Response to "Comments on 'Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy"'.
Radiol Phys Technol. 2018 Sep;11(3):362-363. doi: 10.1007/s12194-018-0471-4. Epub 2018 Aug 12.
2
Comments on "Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy" by Terunuma et al.对Terunuma等人所著《使用深度学习的新型实时肿瘤轮廓绘制方法以防止在X射线荧光透视中出现追踪错误》的评论
Radiol Phys Technol. 2018 Sep;11(3):360-361. doi: 10.1007/s12194-018-0447-4. Epub 2018 Mar 6.
3
Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy.利用深度学习的新型实时肿瘤轮廓描绘方法，以防止在X射线荧光透视中出现追踪错误。
Radiol Phys Technol. 2018 Mar;11(1):43-53. doi: 10.1007/s12194-017-0435-0. Epub 2017 Dec 28.
4
Monochromatic x-rays for medical fluoroscopy and radiography?用于医学透视和放射摄影的单色X射线？
Medicamundi. 1961;7:68-77.
5
[RADIOGRAPHIC EFFECTS DUE TO THE WAVEFORMS OF X-RAY TUBE VOLTAGES AND CURRENTS. 2. EFFECTS OF TRANSMITTED X-RAYS THROUGH OBJECT AND FLUORESCENCE-BRIGHTNESS OF AN INTENSIFYING SCREEN].
Nihon Igaku Hoshasen Gakkai Zasshi. 1963 Aug;23:565-73.
6
[Short-distance radiography with moving x-ray tube].
Nihon Igaku Hoshasen Gakkai Zasshi. 1963 Mar 25;22:1292-6.
7
RATIONALIZATION OF X-RAY WORK EXPECIALLY AT CHEST CLINICS BY INTRODUCTION OF AUTOMATIC DEVELOPING MACHINE FOR SIMULTANEOUS PROCESSING OF LARGE-SIZE RADIOGRAPHS AS WELL AS PHOTOFLUOROGRAPHIC FILMS.通过引入自动显影机对大尺寸X光片和荧光摄影胶片进行同步处理，实现X光工作的合理化，特别是在胸部诊所。
Acta Tuberc Pneumol Scand. 1963;43:197-204.
8
The improvement of definition by x-ray image magnification.
Br J Radiol. 1956 Jun;29(342):335-7. doi: 10.1259/0007-1285-29-342-335.
9
[CONSIDERATIONS ON PROBLEMS OF PROTECTION AGAINST X-RAYS DURING RADIOSCOPY AND RADIOGRAPHY].
J Radiol Electrol Med Nucl. 1963 Nov;44:735-8.
10
Physical problems of fluoroscopy and spot-film radiography.
Radiology. 1949 Jun;52(6):786-95. doi: 10.1148/52.6.786.

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Explainability and controllability of patient-specific deep learning with attention-based augmentation for markerless image-guided radiotherapy.基于注意力增强的患者特定深度学习的可解释性和可控性，用于无标记图像引导放射治疗。
Med Phys. 2023 Jan;50(1):480-494. doi: 10.1002/mp.16095. Epub 2022 Nov 24.

本文引用的文献

1
Survey on deep learning for radiotherapy.深度学习在放射治疗中的应用调查。
Comput Biol Med. 2018 Jul 1;98:126-146. doi: 10.1016/j.compbiomed.2018.05.018. Epub 2018 May 17.
2
Comments on "Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy" by Terunuma et al.对Terunuma等人所著《使用深度学习的新型实时肿瘤轮廓绘制方法以防止在X射线荧光透视中出现追踪错误》的评论
Radiol Phys Technol. 2018 Sep;11(3):360-361. doi: 10.1007/s12194-018-0447-4. Epub 2018 Mar 6.
3
Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy.
利用深度学习的新型实时肿瘤轮廓描绘方法，以防止在X射线荧光透视中出现追踪错误。
Radiol Phys Technol. 2018 Mar;11(1):43-53. doi: 10.1007/s12194-017-0435-0. Epub 2017 Dec 28.
4
Carbon-Ion Pencil Beam Scanning Treatment With Gated Markerless Tumor Tracking: An Analysis of Positional Accuracy.碳离子铅笔束扫描治疗联合无标记门控肿瘤跟踪技术：位置精度分析。
Int J Radiat Oncol Biol Phys. 2016 May 1;95(1):258-266. doi: 10.1016/j.ijrobp.2016.01.014. Epub 2016 Jan 20.