Essays about: "CT images"

Showing result 1 - 5 of 193 essays containing the words CT images.

  1. 1. Limited angle reconstruction for 2D CT based on machine learning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Eric Oldgren; Knut Salomonsson; [2023]
    Keywords : CT; computed tomography; limited angle; machine learning; limited data; ill posed problem; inverse problem;

    Abstract : The aim of this report is to study how machine learning can be used to reconstruct 2 dimensional computed tomography images from limited angle data. This could be used in a variety of applications where either the space or timeavailable for the CT scan limits the acquired data.In this study, three different types of models are considered. READ MORE

  3. 2. Few-Shot Learning for Quality Inspection

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jesper Palmér; Ahmad Alsalehy; [2023]
    Keywords : Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

    Abstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE

  4. 3. Self-learning for 3D segmentation of medical images from single and few-slice annotation

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

    Author : Côme Lassarat; [2023]
    Keywords : Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

    Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE

  5. 4. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

    University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Author : David Rydgård; [2023]
    Keywords : Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

    Abstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE

  6. 5. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation

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

    Author : Federica Carmen Maruccio; [2023]
    Keywords : 3D U-Net; Contouring; Clinical validation; Deep learning; Lung cancer; Monte Carlo dropout; Probability map; Reliability diagram; Segmentation; Uncertainty map;

    Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE