Sökning: "manual image annotation"

Hittade 5 avhandlingar innehållade orden manual image annotation.

1. 1. Image and Data Analysis for Biomedical Quantitative Microscopy

   Författare :Damian J. Matuszewski; Ida-Maria Sintorn; Carolina Wählby; Peter Horvath; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; high-content screening; drug selection; DNA content histogram; manual image annotation; deep learning; convolutional neural networks; hardware integration; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-based research and diagnosis. New technologies and computational tools are necessary for handling the ever-growing amounts of data produced in life science. LÄS MER

3. 2. Image Analysis and Deep Learning for Applications in Microscopy

   Författare :Omer Ishaq; Carolina Wählby; Bernd Rieger; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Deep learning; Image analysis; Quantitative microscopy; Bioimaging; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Quantitative microscopy deals with the extraction of quantitative measurements from samples observed under a microscope. Recent developments in microscopy systems, sample preparation and handling techniques have enabled high throughput biological experiments resulting in large amounts of image data, at biological scales ranging from subcellular structures such as fluorescently tagged nucleic acid sequences to whole organisms such as zebrafish embryos. LÄS MER

4. 3. Learning to Analyze what is Beyond the Visible Spectrum

   Författare :Amanda Berg; Michael Felsberg; Jörgen Ahlberg; Robert Jenssen; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Thermal cameras have historically been of interest mainly for military applications. Increasing image quality and resolution combined with decreasing camera price and size during recent years have, however, opened up new application areas. They are now widely used for civilian applications, e.g. LÄS MER

5. 4. Transmembrane Proteins and Protein Structure Prediction : What we can learn from Computational Methods

   Författare :John Lamb; Arne Elofsson; Paolo Marcatili; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; contact prediction; transmembrane protein; topology prediction; machine learning; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : A protein’s 3D-structure is essential to understand how proteins function and interact and how biochemical processes proceed in organic life. Despite the advancement in experimental methods, it remains expensive and time-consuming to determine protein structure experimentally. LÄS MER

7. 5. Sentiment and Stance Visualization of Textual Data for Social Media

   Författare :Kostiantyn Kucher; Andreas Kerren; Carita Paradis; Magnus Sahlgren; Ross Maciejewski; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; stance visualization; sentiment visualization; text visualization; stance analysis; sentiment analysis; opinion mining; visualization; interaction; visual analytics; NLP; text mining; text analytics; social media; Informations- och programvisualisering; Information and software visualization;

   Sammanfattning : Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. LÄS MER