Search for dissertations about: "Computerized Image Analysis"

Showing result 16 - 20 of 87 swedish dissertations containing the words Computerized Image Analysis.

  2. 16. Precise Image-Based Measurements through Irregular Sampling

    Author : Teo Asplund; Robin Strand; Cris L. Luengo Hendriks; Matthew J. Thurley; Gunilla Borgefors; Hugues Talbot; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; image analysis; image processing; mathematical morphology; irregular sampling; adaptive morphology; missing samples; continuous morphology; path opening.; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Mathematical morphology is a theory that is applicable broadly in signal processing, but in this thesis we focus mainly on image data. Fundamental concepts of morphology include the structuring element and the four operators: dilation, erosion, closing, and opening. READ MORE

  4. 17. Advanced Machine Learning Methods for Oncological Image Analysis

    Author : Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Machine Learning; Deep Learning; Survival Analysis; Early Response Assessment; Tumor Classification; Tumor Segmentation; Medicinsk teknologi; Medical Technology;

    Abstract : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. READ MORE

  5. 18. Image Analysis and Deep Learning for Applications in Microscopy

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

    Abstract : 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. READ MORE

  6. 19. Deep Neural Networks and Image Analysis for Quantitative Microscopy

    Author : Sajith Kecheril Sadanandan; Carolina Wählby; Petter Ranefall; Ewert Bengtsson; Jeroen van der Laak; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep neural networks; convolutional neural networks; image analysis; quantitative microscopy; bright-field microscopy; Datoriserad bildbehandling; Computerized Image Processing;

    Abstract : Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and microscopy imaging is one of the most informative ways to study biology. However, analysis of large numbers of samples is often required to draw statistically verifiable conclusions. READ MORE

  7. 20. Methods for Processing and Analysis of Biomedical TEM Images

    Author : Amit Suveer; Ida-Maria Sintorn; Carolina Wählby; Natasa Sladoje; Jari Hyttinen; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; image processing; deep learning; transmission electron microscopy; denoising; super-resolution reconstruction; registration; detection; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Transmission Electron Microscopy (TEM) has the high resolving capability and high clinical significance; however, the current manual diagnostic procedure using TEM is complicated and time-consuming, requiring rarely available expertise for analyzing TEM images of the biological specimen. This thesis addresses the bottlenecks of TEM-based analysis by proposing image analysis methods to automate and improve critical time-consuming steps of currently manual diagnostic procedures. READ MORE