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 “"UNet##"”.
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Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound
… current segmentation networks like the UNet lack the precision required for clinical adoption in IVUS workflows. This arises due to the difficulty of automatically learning accurate lumen contour from limited training data while accounting for the radial geometry of IVUS imaging. We …
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Deep Learning for Short-Term Spatiotemporal Prediction of Shared Dockless E-Scooter Demand: Grid-Based Representation, Temporal Input Design, and Day-Type-Aware Model Benchmarking
… geographical area over a limited temporal span, UNET and UNETR are benchmarked against the literature baseline under matched experimental conditions. Second, the framework is extended to a larger spatiotemporal setting, where a processing pipeline is established to transform raw trip records into …
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Eclipse: a feedback-driven framework and automated quality assessment system for reliable, interpretable, and multi-modal biomedical AI
… the MRI/CT papers (Auto Claustrum, CU-Net, AM-UNet, TLU-Net), lagging the field on Novelty (−24.6 pp) and Hardware Reporting (−24.4 pp). The CancerAI Workflow Assistant is instantiated across three modality-specific case studies. Histopathology (oral cancer): OCANet achieves Dice 86.14 on ORCA …
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Automatic Classification and Segmentation of Patterned Martian Ground Using Deep Learning Techniques
… for the binary and multiclass scenarios. UNet was used for semantic segmentation. Overall, the models show promising results as a first filter method.
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Transforming Medical Image Segmentation with Enhanced U-Net Architectures and Adaptive Transfer Learning
… and transfer learning strategies, such as AM-UNet for human brain claustrum segmentation from MRI scans, TLU-Net for organ and tumor segmentation from CT scans, and OCU-Net for oral cancer tissue segmentation from whole slide images (WSI) stained with Hematoxylin and Eosin (H&E). Furthermore, …
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Classification of soil surface texture using high-resolution RGB images captured under uncontrolled field conditions
… Network (SegNet), U-shaped Neural Network (UNet), Pyramid Scene Parsing Network (PSPNet), and DeepLab v3+ models to choose the best for semantic segmentation. The trained segmentation model produces masks used to eliminate non-soil pixels from the images. This process produces new images …
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Fibrous Microstructure and Biomechanics of Healthy and Diseased Aortic Tissues
… based on the unsupervised deep learning UNet model was proposed to characterise the heterogeneity of vessels. Lastly, a simulation framework was developed and used for parameter studies to estimate artery material performances according to a few critical collagen fibre parameters. The …
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Application of Machine Learning and Deep Learning Methods in Geological Carbon Sequestration Across Multiple Spatial Scales
… ground truth. We then trained and tested the UNet++ model with nested architecture and redesigned skip connections. The evaluation metrics include the pixel-wise (i.e. F1 score, boundary-scaled accuracy, and pixel-by-pixel comparison) and physics-based (porosity, permeability, and CO2 blob …
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Quantitative Texture Analysis and Automated Segmentation of Patellar Tendon Sonographic Images on Collegiate Athletes
Patellar tendinopathy, a common cause of anterior knee pain, is primarily due to degenerative changes in the patellar tendon resulting from repetitive stress. While the tendon itself is the primary focus, damage can also manifest in surrounding tissues, such as the subcutaneous tissue and the fat …