Essays about: "medical image processing thesis"
Showing result 11 - 15 of 40 essays containing the words medical image processing thesis.
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11. Performance Assessment of Networked Immersive Media in Mobile Health Applications with Emphasis on Latency
University essay from Blekinge Tekniska HögskolaAbstract : Cloud VR/AR/MR (Virtual Reality, Augmented Reality, and Mixed Reality) services representa high-level architecture that combines large scale computer resources in a data-center structurestyle set up to render VR/AR/MR services using a combination of very high bandwidth, ultralow latency, high throughput, latest 5G (5th Generation) mobile networks to the end users. VR refers to a three-dimensional computer-generated virtual environment made up ofcomputers, which can be explored by people for real time interaction. READ MORE
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12. Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
University essay from Lunds universitet/Matematik LTHAbstract : Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. READ MORE
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13. Real Time Gym Activity Detection using Monocular RGB Camera
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of applications such as security surveillance, video tagging, Human-Computer Interaction (HCI), robotics, medical diagnosis, sports analysis, interactive gaming, and many others. READ MORE
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14. Automated Histopathological Evaluation of Tumor Images using CNNs
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Histopathology is the procedure used in medicine to optically examine microscope-images of tissue samples (biopsies) in order to study the manifestation of disease. It is used, for example, to diagnose the spread and type of cancer tumors, which have implications on the chosen treatment. READ MORE
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15. A Segmentation Network with a Class-Agnostic Loss Function for Training on Incomplete Data
University essay from KTH/Medicinteknik och hälsosystemAbstract : The use of deep learning methods is increasing in medical image analysis, e.g., segmentation of organs in medical images. Deep learning methods are highly dependent on a large amount of training data, a common obstacle for medical image analysis. READ MORE