Essays about: "image segmentation"

Showing result 1 - 5 of 212 essays containing the words image segmentation.

  1. 1. Adaptable Semi-Automated 3D Segmentation Using Deep Learning with Spatial Slice Propagation

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Niels Agerskov; [2019]
    Keywords : Deep learning; spatial propagation; image segmentation; semi-automated;

    Abstract : Even with the recent advances of deep learning pushing the field of medical image analysis further than ever before, progress is still slow due to limited availability of annotated data. There are multiple reasons for this, but perhaps the most prominent one is the amount of time manual annotation of medical images takes. READ MORE

  2. 2. Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI

    University essay from Linköpings universitet/Avdelningen för kardiovaskulär medicin

    Author : Camilla Almquist; [2019]
    Keywords : 4D Flow MRI; Master thesis; Image processing; Heart; Blood flow;

    Abstract : A personalized cardiovascular lumped parameter model of the left-sided heart and thesystemic circulation has been developed by the cardiovascular medicine research groupat Linköping University. It provides information about hemodynamics, some of whichcould otherwise only have been retrieved by invasive measurements. READ MORE

  3. 3. Mathematical Analysis of Intensity Based Segmentation Algorithms with Implementations on Finger Images in an Uncontrolled Environment

    University essay from Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

    Author : Lisa Svens; [2019]
    Keywords : Image segmentation; normalised cut; k-means; applied mathematics; matlab;

    Abstract : The main task of this thesis is to perform image segmentation on images of fingers to partition the image into two parts, one with the fingers and one with all that is not fingers. First, we present the theory behind several well-used image segmentation methods, such as SNIC superpixels, the k-means algorithm, and the normalised cut algorithm. READ MORE

  4. 4. Improving 3D Point Cloud Segmentation Using Multimodal Fusion of Projected 2D Imagery Data : Improving 3D Point Cloud Segmentation Using Multimodal Fusion of Projected 2D Imagery Data

    University essay from Linköpings universitet/Datorseende

    Author : Linbo He; [2019]
    Keywords : deep learning; multimodal fusion; multimodality; semantic segmentation; point cloud segmentation;

    Abstract : Semantic segmentation is a key approach to comprehensive image data analysis. It can be applied to analyze 2D images, videos, and even point clouds that contain 3D data points. READ MORE

  5. 5. Bone Fragment Segmentation Using Deep Interactive Object Selection

    University essay from Linköpings universitet/Datorseende

    Author : Martin Estgren; [2019]
    Keywords : Machine Learning; Convolutional Neural Networks; Computer Vision; Medical Image Segmentation;

    Abstract : In recent years semantic segmentation models utilizing Convolutional Neural Networks (CNN) have seen significant success for multiple different segmentation problems. Models such as U-Net have produced promising results within the medical field for both regular 2D and volumetric imaging, rivalling some of the best classical segmentation methods. READ MORE