Sökning: "Biomedical Image Analysis"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Biomedical Image Analysis.

  1. 1. Convolutional Neural Networks for Classification of Metastatic Tissue in Lymph Nodes : How Does Cutout Affect the Performance of Convolutional Neural Networks for Biomedical Image Classification?

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andreas Ericsson; Filip Döringer Kana; [2021]
    Nyckelord :Convolutional neural network; CNN; breast cancer; computer aided diagnostics; data augmentation;

    Sammanfattning : One of every eight women will in their lifetime suffer from breast cancer, making it the most common type of cancer for women. A successful treatment is very much dependent on identifying metastatic tissue which is cancer found beyond the initial tumour. Using deep learning within biomedical analysis has become an effective approach. LÄS MER

  3. 2. AI-based Age Estimation from Mammograms

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Dilukshi Charitha Subashini Dissanayake Dissanayake Lekamlage; Fabia Afzal; [2020]
    Nyckelord :Machine Learning; Mammograms; Image Segmentation; Deep Learning; Feature Extraction; Regression Analysis; Age Estimation;

    Sammanfattning : Background: Age estimation has attracted attention because of its various clinical and medical applications. There are many studies on human age estimation from biomedical images such as X-ray images, MRI, facial images, dental images etc. However, there is no research done on mammograms for age estimation. LÄS MER

  4. 3. Segmentation of the Common Carotid Artery from Ultrasound Images using UNet

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Oskar Friberg; [2020]
    Nyckelord :MSc; Deep Learning; CNN; Computer Vision; Ultrasound; Carotid Artery; Technology and Engineering;

    Sammanfattning : The common carotid artery (CCA), the artery that supplies our brains with oxygen, is of great importance in stroke research. The usual way to monitor the artery is by using ultrasound (US) imaging. An automated way of segmenting out the arteries from the US images is desired to optimize research. LÄS MER

  5. 4. Osteoarthritis in feline coxofemoral joints : a comparison of diagnostic imaging and histologic findings

    Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Biomedical Sciences and Veterinary Public Health

    Författare :Gabriela Ramer; [2019]
    Nyckelord :osteoarthritis; coxofemoral joint; feline; computed tomography; radiography;

    Sammanfattning : Osteoarthritis (OA) is a progressive, low-grade inflammatory disease of synovial joints. It is characterized by the degradation of articular cartilage but involves the whole joint including the subchondral bone and soft tissues. LÄS MER

  7. 5. Lokalisering av brunnar i ELISpot

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ylva Modahl; Caroline Skoglund; [2019]
    Nyckelord :Biomedical imaging; Image analysis; Image edge detection; Digital signal processing; Hough transform; Canny Operator.;

    Sammanfattning : Health is a fundamental human right. To increase global health, research in the medical sector is of great importance. Decreasing time consumption of biomedical testing could accelerate the research and development of new drugs and vaccines. This could be achieved by automation of biomedical analysis, using computerized methods. LÄS MER