Essays about: "Bildsegmentering"

Showing result 21 - 25 of 32 essays containing the word Bildsegmentering.

  1. 21. An Analysis of Context Channel Integration Strategies for Deep Learning-Based Medical Image Segmentation

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

    Author : Joakim Stoor; [2020]
    Keywords : image segmentation; medical image analysis;

    Abstract : This master thesis investigates different approaches for integrating prior information into a neural network for segmentation of medical images. In the study, liver and liver tumor segmentation is performed in a cascading fashion. READ MORE

  2. 22. Unsupervised Learning of Visual Features for Fashion Classification

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

    Author : Sumeet Dhariwal; [2019]
    Keywords : ;

    Abstract : Deep Learning has changed the way computer vision tasks are being solved in the current age. Deep Learning approaches have achieved state-of-the-art results in computer vision problems like image classification, image verification, object detection, and image segmentation. READ MORE

  3. 23. Employing Attention-Based Learning For Medical Image Segmentation

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

    Author : Alexandros Ferles; [2019]
    Keywords : ;

    Abstract : Automated medical image analysis is a non-trivial task due to the complexity of medical data. With the advancements made on Computer Vision through the golden era of Deep Learning, many models which rely on Deep Convolutional Networks have emerged in the Medical Imaging domain and offer important contributions in automating the analysis of medical images. READ MORE

  4. 24. Membership Privacy in Neural Networks for Medical Image Segmentation

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

    Author : Dominik Fay; [2019]
    Keywords : ;

    Abstract : Neural networks are known to memorize parts of their training set. Therefore, whenever sensitive information is involved, releasing a trained network may constitute a privacy breach. In this thesis, we use differential privacy to train neural networks that provably protect the identity of participants. READ MORE

  5. 25. A Novel System for Deep Analysis of Large-Scale Hand Pose Datasets

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

    Author : Maria Touranakou; [2018]
    Keywords : Redundancy removal; similarity analysis; data mining; statistical analysis; image classification; image segmentation; deep learning; computer vision; ; Avlägsnande av redundans; likhetsanalys; data mining; statistisk analys; bildklassificering; bildsegmentering; djup lärning; datorsyn; ;

    Abstract : This degree project proposes the design and the implementation of a novel systemfor deep analysis on large-scale datasets of hand poses. The system consists of a set ofmodules for automatic redundancy removal, classification, statistical analysis andvisualization of large-scale datasets based on their content characteristics. READ MORE