Automatic Delineation of the Clinical Target Volume in Rectal Cancer for Radiation Therapy using Three-dimensional Fully Convolutional Neural Networks

2018 ◽  
Author(s):  
Rasmus Larsson ◽  
Jun-Feng Xiong ◽  
Ying Song ◽  
Ling-Fu ◽  
Yi-Zhi Chen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Rectal Cancer ◽  
Radiation Therapy ◽  
Convolutional Neural Networks ◽  
Clinical Target Volume ◽  
Three Dimensional ◽  
Target Volume ◽  
Fully Convolutional Neural Networks

scholarly journals PO-0814 Clinical target volume in radiation therapy for organ preservation in T2 rectal cancer

2019 ◽  
Vol 133 ◽  
pp. S425
Author(s):  
J. Socha ◽  
L. Pietrzak ◽  
A. Zawadzka ◽  
A. Paciorkiewicz ◽  
A. Krupa ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Radiation Therapy ◽  
Organ Preservation ◽  
Clinical Target Volume ◽  
Target Volume ◽  
T2 Rectal Cancer

scholarly journals Enhanced Protocols for CT Slice Thickness on Clinical Target Volume for 3d Radiation Therapy

2019 ◽  
Vol 8 (12) ◽  
pp. 1365-1370
Keyword(s):  
Computed Tomography ◽  
Radiation Therapy ◽  
Normal Tissue ◽  
Clinical Target Volume ◽  
Three Dimensional ◽  
Target Volume ◽  
Slice Thickness ◽  
Geometric Accuracy ◽  
Tumour Location ◽  
Cancer Diseases

Radiation Therapy is used to treat the cancer diseases by ionization of radiations. From the beginning the aim of radiation therapy is to cure the cancer without any side effects. Tumour location and type, geometric accuracy and involvement in anatomic area affect the output of radiation therapy in which the amount of radiation dose is given. The tumour is controlled by production of high dosage of radiation. The amount of dosage is limited by possibility of damage of normal tissue. To control the amount of dose, for three dimensional radiation therapy computed tomography (CT) slice thickness is proposed in this paper. This paper defines the changes of CTV (clinical target volume) using various computed tomography slice thickness on three dimensional radiation therapy. For all computed tomography datasets, planning of three dimensional treatments is achieved.

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