Sökning: "quality label"
Visar resultat 6 - 10 av 142 uppsatser innehållade orden quality label.
6. Optic nerve sheath diameter semantic segmentation and feature extraction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER
7. Topical Classification of Images in Wikipedia : Development of topical classification models followed by a study of the visual content of Wikipedia
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : With over 53 million articles and 11 million images, Wikipedia is the greatest encyclopedia in history. The number of users is equally significant, with daily views surpassing 1 billion. Such an enormous system needs automation of tasks to make it possible for the volunteers to maintain. LÄS MER
8. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. LÄS MER
9. Sentiment and Semantic Analysis and Urban Quality Inference using Machine Learning Algorithms
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Qualitative interviews are conducted by researchers to gain a deeper understanding of people’s opinions and perceptions about a specific topic. The analysis of such textual data is an iterative process and often time-consuming. LÄS MER
10. ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA
Master-uppsats,Sammanfattning : 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. LÄS MER