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 20 of 22 for “"Medical Image Processing"”.
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Tissue segmentation using medical image processing chain optimization
… and optimize parameters of a full sequence of image processing chain. This thesis presents a universal algorithm that uses three images and their corresponding gold images to train the framework. The optimization algorithm explores the search space for the best sequence of the image processing …
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A medical image processing system based on a hybrid computer architecture
… in order to facilitate the development of an image processing system which helps meet some of the needs of the clinical situation. In particular, the system described facilitates the display and interactive segmentation of medical images. Once images have been segmented into meaningful regions …
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Generative Adversarial Network (GAN) for Medical Image Synthesis and Augmentation
Medical image processing aided by artificial intelligence (AI) and machine learning (ML) significantly improves medical diagnosis and decision making. However, the difficulty to access well-annotated medical images becomes one of the main constraints on further improving this technology. Generative …
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MEDICAL IMAGE BASED PREOPERATIVE ANALYSIS AND INTRAOPERATIVE NAVIGATION
In recent years, medical image processing, artificial intelligence, computer-assisted system and robotic intervention are gradually applied to medicine to help surgeons for medical image analysis and surgical navigation, promoting the vigorous progress of precision medicine. This thesis mainly …
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SVM-based Harris Corner Detection to Classify Normal/Abnormal Breast Mammogram Images
<p>The breast mammogram image is one of the most important materials of the Computer-Aided Diagnosis (CAD) system to support diagnosis of breast cancer. In the CAD system, intensity value is a widely used feature for medical image processing. Classification of the breast mammogram image as normal …
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Medical image enhancement
Each image acquired from a medical imaging system is often part of a two-dimensional (2-D) image set whose total presents a three-dimensional (3-D) object for diagnosis. Unfortunately, sometimes these images are of poor quality. These distortions cause an inadequate object-of-interest presentation, …
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Digital Image Processing via Combination of Low-Level and High-Level Approaches.
With the growth of computer power, Digital Image Processing plays a more and more important role in the modern world, including the field of industry, medical, communications, spaceflight technology etc. There is no clear definition how to divide the digital image processing, but normally, digital …
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Analysis and Measurement of Motion in 2D Medical Imaging Sequences Exploiting Uncertain Knowledge
… of moving and deformable structures in medical image processing has become an increasingly important research field in recent years. Fast and high-resolution image acquisition methods such as Magnetic Resonance (MR) imaging produce very detailed cross-sectional images of the human body. …
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Image morphological processing
Mathematical Morphology with applications in image processing and analysis has been becoming increasingly important in today's technology. Mathematical Morphological operations, which are based on set theory, can extract object features by suitably shaped structuring elements. Mathematical …
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Compressed Sensing Based Image Restoration Algorithm with Prior Information: Software and Hardware Implementations for Image Guided Therapy
… platform for developing a total-variation based image restoration algorithm by applying prior image information and free-form deformation fields for image guided therapy. The core algorithm we developed solves the image restoration problem for handling missing structures in one image set with …
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Wavelets In Real-time Rendering
… geographical information systems, economic and medical image processing are typical candidate applications. Recent advances in graphics hardware have enabled real-time rasterization of complex scenes under artificial lighting environment. Meanwhile, pre-computation based soft shadow algorithms …
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Computer-Aided Detection of Clinically Significant Prostate Cancer using Bi-Parametric Magnetic Resonance Imaging
… shown promising improvements over CNNs in medical image processing field, but it is rarely explored for PCa detection. Furthermore, the standard self-attention mechanism used to build the Transformer is memory and computationally inefficient, which hurts its performance and limits its …
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Efficient techniques for soft tissue modeling and simulation
… head model was generated from MRI medical data by applying medical image processing tools such as, filtering, the segmentation and polygonal representation of such model is obtained using a surface generation algorithm. Prism volume elements are generated between the skin and bone …
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Thickness estimation, automated classification and novelty detection in ultrasound images of the plantar fascia tissues
… is possible for the overuse and the associated medical problems to cause injuries and some severe common diseases. Ultrasound (US) imaging offers significant potential in diagnosis of PF injuries and monitoring treatments. Despite the advantages of US, the generated PF images are difficult to …
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Advancing 3D Segmentation: Deep Learning Techniques for Video and Medical Imaging
… video analysis or another spatial dimension in medical imaging, demands innovative approaches that can accurately capture and interpret the intricacies of three-dimensional spaces. Despite the critical need, the leap from 2D to 3D segmentation remains a significant challenge, requiring not only …
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Encoding parameter and structural efficiency in deep learning
… areas spanning computer vision, natural language processing, reinforcement learning, generative modelling and more recently relational learning from graph-structured data. The main reason for this success is an increase in the availability of computational power, which allows for deep and highly …
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Development of supervised and unsupervised pixel-based classification methods for medical image segmentation
… of ER-expressed nuclei in breast cancer tissue images stained with IHC, (ii) to objectively quantify ER status in breast cancer tissue images stained with IHC, (iii) to investigate potential correlation between ER status and histological grade by combining information from IHC and H&E stained …
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Quantum Computing Based Image segmentation for Treatment Planning Applications
… has led to its increasing integration into medical radiology. Quantum-inspired algorithms have helped accelerate magnetic resonance fingerprinting for possible applications in clinic settings. Numerous global initiatives are currently integrating quantum computing into medical radiology and …
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Learning to map between domains
… them to something seen before. Similarly, in the medical image field and radiological science, tens of thousands of medical images (MRI, CT, etc) of patients are taken. These medical images need to be studied and interpreted. In this dissertation, we investigate a number of data-driven approaches …
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Automated Measurement of Midline Shift in Brain CT Images and its Application in Computer-Aided Medical Decision Making
… injury. In this thesis, the focus is given to processing of the CT (Computer Tomography) brain images to automatically calculate midline shift in pathological cases and use it to predict Intracranial Pressure (ICP). The midline shift measurement can be divided into three steps. First the ideal …
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