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The Efficacy Of Weakly Supervised Learning For Biomedical Imaging, Solomon Lee Hatcher
The Efficacy Of Weakly Supervised Learning For Biomedical Imaging, Solomon Lee Hatcher
All ETDs from UAB
This paper aims to investigate the use of unsupervised saliency proposals in extracting suitable prior information from computed tomography scans of the head using image-level labels. The weak supervision learning method obtains useful information about an object’s location and fuses this result with an unsupervised saliency proposal to propagate labels to all related pixels. However, it is shown that unsupervised saliency guidance fails to supply the synthetic annotations with enough coherence to produce suitable segmentation.
Drive-By Bridge Monitoring And Damage Detection, Chengjun Tan
Drive-By Bridge Monitoring And Damage Detection, Chengjun Tan
All ETDs from UAB
Bridges are key components of the transportation network, and their safety is essential to maintain effective and safe operation of the transportation facilities. To maintain the structural integrity of the bridges, it is essential to estimate the extent and location of the structural damage through periodic monitoring. Therefore, there is considerable interest in bridge damage detection and considerable progress has been made in recent years. The traditional bridge health monitoring requires many sensors installed on the bridge to collect vibration data for damage assessment, which is expensive, time-consuming, and even dangerous in-site. Compared with traditional ways, the concept of indirect …