Organs-at-risk - Globe Thesis

Keyword [Organs-at-risk] Result: 41 - 60 \| Page: 3 of 4
41.	Research On Segmentation Of Organs At Risk In Thoracic Image Based On Deep Learning
42.	Grading Evaluation Study Of Atlas-based Auto-segmentation Of Organs At Risk In Thorax
43.	Evaluating The Impact Of Respiratory Motion On Risk Organ Dosimetry In Radiotherapy Of Non-small Cell Lung Cancer Based On 4D-CT
44.	Object Detection And Segmentation Based Target And Organs At Risk Auto-Delineation For Nasopharyngeal Carcinoma
45.	Balanced Sampling And Multi-task Learning For The Segmentation Of Head And Neck Organs At Risk
46.	Deep Learning Based Automatic Segmentation Of Nasopharyngeal Carcinoma Organs At Risk Area
47.	Multimodal CT-MRI Automatic Segmentation Of Small Organs-at-risk Of The Brain Using Cascaded 3D U-Net Network
48.	Segmentation Of Organs At Risk And Tumors As Well As Dose Prediction In Precision Radiotherapy For Early Liver Cancer
49.	The Impact Of Changes In Bladder And Rectum Volume On Organs At Risk During External Irradiation Of Cervical Cance
50.	Analysis Of Prognostic Parameters Of High-grade Glioma And Comparison Of Radiotherapy Target Areas
51.	The Segmentation Of Thoracic Organs At Risk Based On Knowledge Distillation
52.	Study Of Impact Of Bladder Volume On Setup Error And Dose In Postoperative Radiotherapy For Cervical Cancer In Different Positions Based On CT-Linac
53.	Automatic Segmentation Of Organs-at-risk In Cervical Cancer Brachytherapy Based On U-net Convolutional Neural Network
54.	Research On Transfer Algorithm Of Organ-at-Risk Segmentation Model Based On Boundary Guide
55.	Design Of Radiotherapy Target Segmentation Algorithm Based On Transformer Structure
56.	The Dosimetric Study Of The Effect Of Different Slice Thickness Images Based On CT Reconstruction Of Nasopharyngeal Carcinoma VMAT Plan Target Area And Organs At Risk
57.	Research On CT Image Segmentation Algorithm Based On ROI Iterative Optimization
58.	Research On Organ Quality Evaluation Algorithm In CT Image Based On Multi-Model Joint Feedback
59.	Study On The Method Of Automatically Describing The Clinical Target Volume Of Rectal Cancer CT Images Based On U2-Net Network
60.	Research On Organs-At-Risk Segmentation Algorithm In Head And Neck CT Images
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