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

Showing result 11 - 15 of 42 essays containing the words thesis for image segmentation using neural network.

  1. 11. Semantic segmentation using convolutional neural networks to facilitate motion tracking of feet : For real-time analysis of perioperative microcirculation images in patients with critical limb thretening ischemia

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Andreas Öberg; Martin Hulterström; [2021]
    Keywords : semantic segmentation; convolutional neural network; critical limb threatening ischemia; ROI tracking; deep learning;

    Abstract : This thesis investigates the use of Convolutional Neural Networks (CNNs) toperform semantic segmentation of feet during endovascular surgery in patientswith Critical Limb Threatening Ischemia (CLTI). It is currently being investigatedwhether objective assessment of perfusion can aid surgeons during endovascularsurgery. READ MORE

  3. 12. Road Segmentation and Optimal Route Prediction using Deep Neural Networks and Graphs

    University essay from KTH/Matematik (Avd.)

    Author : Viktor Ossmark; [2021]
    Keywords : statistics; applied mathematics; machine learning; computer vision; deep learning; satellite data; remote sensing; image segmentation; optimal routing; deep neural networks; graphs; AI; statistik; tillämpad matematik; maskininlärning; djup inlärning; datorseende; satellitdata; bildsegmentering; optimala rutter; grafer; AI;

    Abstract : Observing the earth from above is a great way of understanding our world better. From space, many complex patterns and relationships on the ground can be identified through high-quality satellite data. READ MORE

  4. 13. Applying Machine Learning to Detect Historical Remains in Swedish Forestry Using LIDAR Data

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Ruslan Abdulin; [2021]
    Keywords : machine learning; neural networks; artificial intelligence; LIDAR; Swedish forestry; image segmentation; historical remains;

    Abstract : Historical remains in Swedish forests are at risk of being damaged by heavy machineryduring regular soil preparation, scarification, and regeneration activities. Thereason for this is that the exact locations of these remains are often unknown or theirrecords are inaccurate. READ MORE

  5. 14. Evaluation of Methods for Person Re-identification between Non-overlapping Surveillance Cameras

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Henrik Nilsson; [2021]
    Keywords : Person-återidentifiering; djupinlärning; maskininlärning; bildbehandling;

    Abstract : This thesis describes a comparison of several state-of-the-art methods used for re-identification of a person between several non-overlapping views captured by surveillance cameras. Since 2014, the focus of the area of person re-identification has been heavily oriented towards approaches employing the use of neural network due to the increase in performance shown from this approach. READ MORE

  6. 15. Aortic Segmentation in Real-Time Flow Exercise Cardiac Magnetic Resonance Images using Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Mathilda Larsson; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : Background: Cardiovascular disease is common and it is therefore important to have tools to investigate pathophysiology and normal physiology of the cardiovascular system. One such tool is using cardiovascular magnetic resonance in order to measure blood flow in vessels, particularly while the participant imaged is exercising. READ MORE