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"Clinical target volume delineation quality assurance for MRI-guided pr" by Hang Min, Jason Dowling et al.

Background and purpose: Previous studies on automatic delineation quality assurance (QA) have mostly focused on CT-based planning. As MRI-guided radiotherapy is increasingly utilized in prostate cancer treatment, there is a need for more research on MRI-specific automatic QA. This work proposes a clinical target volume (CTV) delineation QA framework based on deep learning (DL) for MRI-guided prostate radiotherapy. Materials and methods: The proposed workflow utilized a 3D dropblock ResUnet++ (DB...
Monte Carlo Clinical Target Volume Deep Learning Prostate Cancer Quality Assurance Uncertainty Estimation
Source: uow.edu.au

"Bayesian Gabor Network with Uncertainty Estimation for Pedestrian Lane" by Hoang Thanh Le, Son Lam Phung et al.

Automatic pedestrian lane detection is a challenging problem that is of great interest in assistive navigation and autonomous driving. Such a detection system must cope well with variations in lane surfaces and illumination conditions so that a vision-impaired user can navigate safely in unknown environments. This paper proposes a new lightweight Bayesian Gabor Network (BGN) for camera-based detection of pedestrian lanes in unstructured scenes. In our approach, each Gabor parameter is represente...
Bayesian Gabor Network Assistive And Autonomous Navigation Bayes Methods Bayesian Gabor Network Image Segmentation Lane Detection
Source: uow.edu.au

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