Essays about: "evaluation of image segmentation"
Showing result 6 - 10 of 77 essays containing the words evaluation of image segmentation.
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6. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics
University essay from Luleå tekniska universitet/RymdteknikAbstract : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. READ MORE
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7. Deep Learning-Based Automated Landmark Localization for Evan’s Index Computation
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Hydrocephalus is a neurological disorder characterized by the accumulation of cerebrospinal fluid in the brain, leading to an enlargement of the ventricular system. Among its subtypes is idiopathic normal pressure hydrocephalus (iNPH), characterized by normal cerebrospinal fluid pressure. READ MORE
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8. Performance Evaluation of Lumen Segmentation in Ultrasound Images
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Automatic segmentation of the lumen of carotid arteries in ultrasound images is a starting step in providing preventive care for patients with atherosclerosis. To perform the segmentation this paper introduces a model utilizing a threshold algorithm. READ MORE
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9. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE
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10. ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA
University essay fromAbstract : Purpose: The purpose of this work was to find out how the existing brain atlases and segmentation algorithms perform when applied to ultrahigh-resolution MR brain images, acquired with a 7-Tesla scanner. Also to make adaptations to deal with the potential challenges and evaluate the quality of the anatomical segmentations of the 7- Tesla images. READ MORE