Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Auto-segmentation"”.
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Auto-Segmentation In Pancreatic and Liver Radiation Therapy
… hinges upon the precise and standardized segmentation of organs-at-risk and target volumes to ensure the optimal quality of treatment plans.</p> <p><strong>Methods</strong></p> <p>We first developed an automated organs-at-risk segmentation tool for upper abdominal radiation therapy …
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Improving Cone-Beam Computed Tomography Based Adaptive Radiation Therapy with Deep Learning
… in CBCT-based dose calculations. Additionally, auto-segmentation of CBCT is impeded by low image quality and a lack of training labels. Although addressing this issue is difficult, enhancing auto-segmentation is essential, as manual segmentation is highly time-consuming. This dissertation aims …
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Artificial Intelligence (AI)-assisted Cardiotoxicity Management in Lung Cancer Radiotherapy
… time and resource demands associated with manual segmentation. Moreover, the relationship between dose distribution in radiotherapy plans and radiation-induced cardiotoxicity remains incompletely understood. Therefore, the development of an automated and precise segmentation approach for cardiac …
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Automated Adaptive Data Center Generation For Meshless Methods
… distribution) is still significant and far from automated. The distribution of points still closely resembles the nodes of finite volume-type meshes and the free parameter, c, of the radial-basis expansion functions (RBF) still must be tailored specifically to a problem. The localized meshless …
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Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline For Oropharyngeal Cancer Radiotherapy Treatment Guidance
… approaches requires operator-dependent tumor segmentation, which is the primary source of treatment error. Further, OPC expresses differential tumor/node mid-RT response (rapid response) rates, resulting in significant differences between planned and delivered RT dose. Finally, clinical …
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Segmentation Based Tracking for Aerial Robot Global Localization in Unstructured Environments with Oblique Monocular Camera Orientation
… Global localization is a crucial task for autonomous robot navigation, specifically in the multi-agent scenario where robots need to localize within maps communicated by other agents. The scenario where vehicles are viewing their environments from the same perspective, or camera viewpoint, …
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Ai-Enabled Online Plan Adaptation For Mr-Guided Stereotactic Ablative Radiotherapy (Sabr) of Head and Neck Cancer
… with MR-guided online ART for HNC SABR by automating the key steps in the clinical workflow using deep learning methods.</p> <p>First, we developed an advanced auto-segmentation framework to automate the GTV delineation for SABR treatment planning. The framework was specifically designed to …
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Learning and recognition of hybrid manipulation tasks in variable environments using probabilistic flow tubes
… a teleoperator commonly performs, so that it can autonomously execute routine tasks or recognize a user's motion in real time. Tasks can be either primitive activities or compound plans. During online operation, the robot can recognize a user's teleoperated motions on the fly and offer real-time …
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Advancing Radiotherapy Treatment Through Artificial Intelligence-Driven Approaches
… in the quality and efficiency of image segmentation and treatment outcome analysis with AI approaches. Therefore, this dissertation specifically focuses on leveraging the power of AI to improve the target delineation, predict treatment outcomes, and assist the clinical translation of …