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 5 of 5 for “"Fully convolutional networks"”.
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A deep learning approach to focal cortical dysplasia segmentation in children with medically intractable epilepsy
… of deep learning techniques, specifically Convolutional Neural Networks (CNN), and Fully Convolutional Networks (FCN) are that they are built to extract detailed features in images with minimal user involvement. Therefore, we set to develop a model, which takes an MRI, classifies whether it …
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Development of novel optical sensing-based digital stethoscopes and deep learning-based heart sound denoising algorithms
… pipeline for the denoising of heart sounds using fully convolutional networks (FCNs) is proposed, along with a thorough investigation of its capabilities and robustness. Both the hardware and software systems developed in this thesis were designed under the guidance of its co-supervisor, a medical …
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Holistic indoor scene understanding, modelling and reconstruction from single images.
… streamline is proposed. It is backboned with fully convolutional networks to learn 2D semantics and geometry, and powered by a top-down shape retrieval for object modelling. After this, We build a unified and more efficient visual system for semantic scene modelling. Scene semantics are …
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Autonomous vision-based inspection of RC railway bridges for rapid post-earthquake response and recovery
… recognition, and localization are realized by fully convolutional network (FCN)-based semantic segmentation and depth prediction algorithms. The investigation begins with the bridge component recognition using a single real-world image. Based on the lessons learned from the initial work, the …
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Quantifying methodological uncertainties and navigating feasibilities in monitoring of cerebral autoregulation - Towards individualised management of TBI.
Traumatic brain injury (TBI) remains a critical medical challenge due to its heterogeneous nature and complex pathophysiological mechanisms. Individualised management of TBI patients, taking advantage of such technologies like cerebral autoregulation (CA) monitoring, has the potential to improve …