Search for dissertations about: "TECHNOLOGY Information technology Image analysis"

Showing result 21 - 25 of 585 swedish dissertations containing the words TECHNOLOGY Information technology Image analysis.

2. 21. Segmentation Methods for Medical Image Analysis : Blood vessels, multi-scale filtering and level set methods

   Author : Gunnar Läthén; Reiner Lenz; Niels Christian Overgaard; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Image segmentation; Medical image analysis; Level set method; Quadrature filter; Multi-scale; Image analysis; Bildanalys;

   Abstract : Image segmentation is the problem of partitioning an image into meaningful parts, often consisting of an object and background. As an important part of many imaging applications, e.g. face recognition, tracking of moving cars and people etc, it is of general interest to design robust and fast segmentation algorithms. READ MORE

4. 22. 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

5. 23. Adapting Deep Learning for Microscopy: Interaction, Application, and Validation

   Author : Ankit Gupta; Carolina Wählby; Ida-Maria Sintorn; Ola Spjuth; Andreas Hellander; Philip Kollmannsberger; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep Learning; Microscopy; Human-in-the-Loop; Semi-Supervised Learning; Application-Specific Analysis; Image Classification; Image-to-Image Translation; Template Matching; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : Microscopy is an integral technique in biology to study the fundamental components of life visually. Digital microscopy and automation have enabled biologists to conduct faster and larger-scale experiments with a sharp increase in the data generated. READ MORE

6. 24. Digital Image Analysis of Cells : Applications in 2D, 3D and Time

   Author : Amalka Pinidiyaarachchi; Carolina Wählby; Ewert Bengtsson; Arvid Lundervold; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Digital image analysis; microscopy; fluorescent staining; watershed segmentation; sub-cellular localization; point-like signals; wavelets; cell confluence; cytology; color spaces.; Image analysis; Bildanalys;

   Abstract : Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. READ MORE

7. 25. Application, Optimisation and Evaluation of Deep Learning for Biomedical Imaging

   Author : Håkan Wieslander; Carolina Wählby; Ida-Maria Sintorn; Ola Spjuth; Andreas Hellander; Bjoern Menze; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Deep Learning; Microscopy; Image Analysis;

   Abstract : Microscopy imaging is a powerful technique when studying biology at a cellular and sub-cellular level. When combined with digital image analysis it creates an invaluable tool for investigating complex biological processes and phenomena. READ MORE