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 7 of 7 for “"Automatic image segmentation"”.
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Image segmentation, evaluation, and applications
This thesis aims to advance research in image segmentation by developing robust techniques for evaluating image segmentation algorithms. The key contributions of this work are as follows. First, we investigate the characteristics of existing measures for supervised evaluation of automatic image …
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Statistical methods for biomedical signal analysis and processing
… measured from a ultrasonic transducer and automatic image segmentation and classification of prostate ultrasound scans. In the former application a stochastic model of the radio frequency signal measured from a ultrasonic transducer is derived. This model is then employed for developing in …
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Improving Segmentation Pipelines for Medical Imaging using Deep Learning
… important steps in the clinical workflow is the segmentation of medical imaging, which can be used for a variety of clinical decision-making tasks such as disease diagnosis and treatment response evaluation. Manual segmentation of 3D medical imaging (such as computed tomography (CT) or magnetic …
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Advanced Methods for the Analysis of Radar Sounder Data Acquired at the Ice Sheets
… of radargrams call for the development of automatic techniques for an efficient extraction of information from RS data. This topic has been only marginally addressed in the literature. Thus, in this thesis we address this challenge by contributing with four novel automatic techniques for …
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The investigation of an inexpensive infra-red camera based building monitoring system for the aid of efficient building development
… use of a V-model for the thermal camera used for image processing. After the constraints and requirements were defined, the engineering design commenced with a careful selection of both the IR camera and drone to be used for the possible prototype. Thereafter, experiments were set up to validate …
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Automatic Optimum Atlas Selection for Multi-Atlas Image Segmentation using Joint Label Fusion
<p>Multi-atlas image segmentation using label fusion is one of the most accurate state of the art image segmentation techniques available for biomedical imaging applications. Motivated to achieve higher image segmentation accuracy, reduce computational costs and a continuously increasing atlas data …