Essays about: "thesis for image segmentation using neural network"

Showing result 1 - 5 of 15 essays containing the words thesis for image segmentation using neural network.

  1. 1. 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

  2. 2. Fully Convolutional Networks for Mammogram Segmentation

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Hampus Carlsson; [2019]
    Keywords : Mammography; FCN; Fully Convolutional Neural Networks; Mammogram Segmentation; MIAS;

    Abstract : Segmentation of mammograms pertains to assigning a meaningful label to each pixel found in the image. The segmented mammogram facilitates both the function of Computer Aided Diagnosis Systems and the development of tools used by radiologists during examination. Over the years many approaches to this problem have been presented. READ MORE

  3. 3. Localising and Reconstructing Drill Holes in 3D Objects using Machine Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Viktor Ståhl; [2018]
    Keywords : ;

    Abstract : To move towards an increasingly automated future, machines are becoming smarter and can now solve tasks only humans could before. In this thesis project, the possibility to find, classify and reconstruct holes in three dimensional objects using machine learning is explored. READ MORE

  4. 4. Real-time segmentaion of feet on smartphone

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Axel Demborg; [2018]
    Keywords : ;

    Abstract : Image segmentation, the problem of dividing an image into meaningful parts and semantic segmentation, dividing images into multiple known classes are very interesting problems in computer vision. Segmentation is relevant for everything from self-driving cars to 3D-modeling and synthetic camera effects. READ MORE

  5. 5. Neural Networks for Semantic Segmentation in the Food Packaging Industry

    University essay from Linköpings universitet/Datorseende

    Author : Mattias Carlsson; [2018]
    Keywords : Deep learning; neural networks; semantic segmentation;

    Abstract : Industrial applications of computer vision often utilize traditional image processing techniques whereas state-of-the-art methods in most image processing challenges are almost exclusively based on convolutional neural networks (CNNs). Thus there is a large potential for improving the performance of many machine vision applications by incorporating CNNs. READ MORE