Avancerad sökning

Visar resultat 1 - 5 av 7 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Graph-based Methods for Interactive Image Segmentation

    Författare :Filip Malmberg; Ingela Nyström; Ewert Bengtsson; Jayaram K. Udupa; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Digital image analysis; Interactive image segmentation; Fuzzy image segmentation; Image foresting transform; Graph labeling; Graph cuts; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : The subject of digital image analysis deals with extracting relevant information from image data, stored in digital form in a computer. A fundamental problem in image analysis is image segmentation, i.e., the identification and separation of relevant objects and structures in an image. LÄS MER

  3. 2. 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

  4. 3. Unsupervised Segmentation of Head Tissues from Multi-Modal Magnetic Resonance Images: With Application to EEG Source Localization and Stroke Detection

    Författare :Mahmood Qaiser; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; stroke; EEG source localization; Image segmentation; reconstruction; magnetic resonance; brain;

    Sammanfattning : The automated segmentation or labeling of individual tissues in magnetic resonance (MR) images of the human head is an essential first step in several biomedical applications. The resulting segmentation yields a patient-specific labeling of individual tissues that can be used to quantitatively characterize these tissues (e.g. LÄS MER

  5. 4. Statistical Segmentation and Registration of Medical Ultrasound Data

    Författare :Mattias Hansson; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Registration; Segmentation; Feature descriptor; Statistical image and signal processing; Medical ultrasound; Variational methods; Mixture model; Bayesian; Markov Chain Monte Carlo; Similarity measur;

    Sammanfattning : The interpretation of ultrasonic imagery is typically not straightforward and of quite subjective nature and therefore strongly dependent on the expertise of its users. Thus the development of algorithms which aid in the interpretation of ultrasonic data is a highly relevant topic. LÄS MER

  7. 5. Computer-­Assisted  Coronary  CT  Angiography  Analysis : From  Software  Development  to  Clinical  Application

    Författare :Chunliang Wang; Örjan Smedby; Anders Persson; Hans Frimmel; Evert-jan Vonken; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Vessel segmentation; coronary CTA; fuzzy connectedness; level set; coronary artery disease; Image analysis; Bildanalys; Radiological research; Radiologisk forskning;

    Sammanfattning : Advances in coronary Computed Tomography Angiography (CTA) have resulted in a boost in the use of this new technique in recent years, creating a challenge for radiologists due to the increasing number of exams and the large amount of data for each patient. The main goal of this study was to develop a computer tool to facilitate coronary CTA analysis by combining knowledge of medicine and image processing, and to evaluate the performance in clinical settings. LÄS MER