Search for dissertations about: "medical training model"

Showing result 1 - 5 of 108 swedish dissertations containing the words medical training model.

  2. 1. Resource efficient automatic segmentation of medical images

    Author : Minh Hoang Vu; Tommy Löfstedt; Tufve Nyholm; Anders Garpebring; Joakim Jonsson; Örjan Smedby; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; radiotherapy; medical imaging; deep learning; convolutional neural network; generative adversarial network; data augmentation; semantic segmentation; classification; activation map compression; radiofysik; radiation physics;

    Abstract : Cancer is one of the leading causes of death worldwide. In 2020, there were around 10 million cancer deaths and nearly 20 million new cancer cases in the world. Radiation therapy is essential in cancer treatments because half of the cancer patients receive radiation therapy at some point. READ MORE

  4. 2. Methods for the analysis and characterization of brain morphology from MRI images

    Author : Irene Brusini; Chunliang Wang; Örjan Smedby; Eric Westman; Lars-Olof Wahlund; Jorge Cardoso; KTH; Karolinska Institutet; Karolinska Institutet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Brain MRI; Image Segmentation; Machine Learning; Deep Learning; Shape Analysis; Aging; Neurodegeneration; MRT av hjärnan; Bildsegmentering; Maskininlärning; Djupinlärning; Formanalys; Åldrande; Neurodegeneration; Medical Technology; Medicinsk teknologi;

    Abstract : Brain magnetic resonance imaging (MRI) is an imaging modality that produces detailed images of the brain without using any ionizing radiation. From a structural MRI scan, it is possible to extract morphological properties of different brain regions, such as their volume and shape. READ MORE

  5. 3. Building muscle : a translation of training adaptation

    Author : Niklas Boman; Michael Svensson; Jonas Burén; Henrik Antti; Eva Jansson; Umeå universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Training; adaptation; muscle; human; hypertrophy; testosterone; fysiologi; Physiology;

    Abstract : Training is preparation for what is expected to come through utilization of the plastic and resistive features of nature, known as adaptation. As such, training in humans may have a number of desired goals. These are typically related to sports performance or education. Whatever the goal, a plan needs to be made for reaching it. READ MORE

  6. 4. Do-not-resuscitate orders Ethical aspects on decision making and communication among physicians, nurses, patients and relatives

    Author : Rurik Löfmark; Medicinsk etik; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Allmän medicinsk utövning; medical training; General practice; futility; DNR orders; decision making; communication; physicians; nurses; patients; ethics; relatives; medicinsk utbildning;

    Abstract : The purpose was to describe ethical aspects on how do-not-resuscitate (DNR) deci-sions are made, established, and communicated between physicians, nurses, patients and relatives. A random sample of 220 physicians and nurses answered a questionnaire about their attitudes to and experiences of the making and communication of a DNR decision. READ MORE

  7. 5. On Medical Image Segmentation With Noisy Labels

    Author : Marcus Nordström; Henrik Hult; Atsuto Maki; Fredrik Kahl; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical image segmentation; image segmentation; machine learning; supervised learning; label noise; Sörensen-Dice coefficient; soft-Dice; Medicinsk bildsegmentering; bildsegmentering; maskininlärning; övervakat lärande; annoteringsbrus; Sörensen-Dice koefficienten; soft-Dice; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics; Mathematical Statistics; Matematisk statistik;

    Abstract : It is well known that data sets used for training and testing automatic medical image segmentation methods often contain a lot of label noise. Such noise affects the performance of the methods and has been subject to a lot of research. READ MORE