Search for dissertations about: "tissue image analysis"

Showing result 1 - 5 of 241 swedish dissertations containing the words tissue image analysis.

  1. 1. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis

    Author : Gustaf Kylberg; Ida-Maria Sintorn; Gunilla Borgefors; Walter Kropatsch; Uppsala universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; image processing; virus identification; transmission electron microscopy; texture analysis; texture descriptors; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Viruses and their morphology have been detected and studied with electron microscopy (EM) since the end of the 1930s. The technique has been vital for the discovery of new viruses and in establishing the virus taxonomy. Today, electron microscopy is an important technique in clinical diagnostics. READ MORE

  2. 2. Computerized Cell and Tissue Analysis

    Author : Azadeh Fakhrzadeh; Gunilla Borgefors; Cris Luengo Hendriks; Lena Holm; Nasir Rajpoot; Uppsala universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image processing; Cell; Tissue; Segmentation; Classification; Histology; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : The latest advances in digital cameras combined with powerful computer software enable us to store high-quality microscopy images of specimen. Studying hundreds of images manually is very time consuming and has the problem of human subjectivity and inconsistency. READ MORE

  3. 3. Automated Tissue Image Analysis Using Pattern Recognition

    Author : Jimmy Azar; Anders Hast; Ewert Bengtsson; Martin Simonsson; Marco Loog; Uppsala universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tissue image analysis; pattern recognition; digital histopathology; immunohistochemistry; paired antibodies; histological stain evaluation; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. READ MORE

  4. 4. Image Processing, Machine Learning and Visualization for Tissue Analysis

    Author : Leslie Solorzano; Carolina Wählby; Alexandru Cristian Telea; Uppsala universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image processing; data analysis; machine learning; visualization; microscopy; Bioinformatics; Bioinformatik;

    Abstract : Knowledge discovery for understanding mechanisms of disease requires the integration of multiple sources of data collected at various magnifications and by different imaging techniques. Using spatial information, we can build maps of tissue and cells in which it is possible to extract, e.g. READ MORE

  5. 5. Spectral Image Processing with Applications in Biotechnology and Pathology

    Author : Milan Gavrilovic; Carolina Wählby; Ewert Bengtsson; Ingrid Carlbom; Robert Murphy; Uppsala universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; color theory; light microscopy; spectral imaging; image analysis; digital image processing; mathematical modeling; estimation; noise models; spectral decomposition; color decomposition; colocalization; cross-talk; autofluorescence; tissue separation; prostate cancer; biomedical applications; molecular biotechnology; histopathology; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decades after the first microscope was built. But it was not until the twentieth century that technological advances led to the integration of color theory, optical spectroscopy and light microscopy through spectral image processing. READ MORE