Sökning: "Medical Image Analysis"

Visar resultat 1 - 5 av 956 avhandlingar innehållade orden Medical Image Analysis.

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

    Författare :Gustaf Kylberg; Ida-Maria Sintorn; Gunilla Borgefors; Walter Kropatsch; Uppsala universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  2. 2. A path along deep learning for medical image analysis : With focus on burn wounds and brain tumors

    Författare :Marco Domenico Cirillo; Anders Eklund; Veronika Cheplygina; Linköpings universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep learning; Medical image analysis; Burn wounds; Brain tumors; Image classification; Image segmentation; Image augmentation; CNNs; GANs;

    Sammanfattning : The number of medical images that clinicians need to review on a daily basis has increased dramatically during the last decades. Since the number of clinicians has not increased as much, it is necessary to develop tools which can help doctors to work more efficiently. LÄS MER

  3. 3. Live Single Cell Imaging and Analysis Using Microfluidic Devices

    Författare :Mohammad Ali Khorshidi; Helene Andersson-Svahn; Håkan Jönsson; Carolina Wählby; Johan Elf; KTH; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Single cell analysis; time-lapse fluorescence imaging; automated image analysis; microwell; droplet microfluidics; NK cells; single cell tracking; migration behavior analysis; cell-cell interaction; optical microscopy; image analysis; image processing; microfluidics; immune cells; tracking; counting; morphology analysis;

    Sammanfattning : Today many cell biological techniques study large cell populations where an average estimate of individual cells’ behavior is observed. On the other hand, single cell analysis is required for studying functional heterogeneities between cells within populations. LÄS MER

  4. 4. Image Analysis in Support of Computer-Assisted Cervical Cancer Screening

    Författare :Patrik Malm; Ewert Bengtsson; Calum MacAulay; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image analysis; cervical cancer; pap-smear; synthetic images; screening; image processing; cytometry; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Cervical cancer is a disease that annually claims the lives of over a quarter of a million women. A substantial number of these deaths could be prevented if population wide cancer screening, based on the Papanicolaou test, were globally available. The Papanicolaou test involves a visual review of cellular material obtained from the uterine cervix. LÄS MER

  5. 5. Advanced Machine Learning Methods for Oncological Image Analysis

    Författare :Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; 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;

    Sammanfattning : 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. LÄS MER