Essays about: "Medicinsk bildbehandling"

Showing result 1 - 5 of 10 essays containing the words Medicinsk bildbehandling.

  1. 1. Robustness Analysis of Perfusion Parameter Calculations

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

    Author : Alicia Palmér; [2024]
    Keywords : Perfusion; Medical image analysis; Dynamic Contrast Enhanced Magnetic Resonance Imaging; Tofts model; Functional imaging; Optimization; T1 map; Perfusion; Medicinsk bildanalys; Dynamisk kontrastförstärkt magnetisk resonanstomografibildtagning; Tofts-modell; Funktionell bildbehandling; Optimering; T1 karta;

    Abstract : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. READ MORE

  3. 2. Optic nerve sheath diameter semantic segmentation and feature extraction

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

    Author : Simone Bonato; [2023]
    Keywords : Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

    Abstract : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. READ MORE

  4. 3. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Shams Methnani; [2023]
    Keywords : ;

    Abstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE

  5. 4. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty

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

    Author : Sanskar Gupta; [2022]
    Keywords : Uncertainty; Confidences; Calibration; Clustering; Multiclass classification;

    Abstract : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. READ MORE

  6. 5. Iterative Reconstruction Algorithm for Phase-Contrast X-Ray Imaging

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Ahmad Sadek; Ruben Pozzi; [2020]
    Keywords : Computed tomography; Medical research; Phase-contrast imaging; Propagation-based imaging; SIRT; Iterative algorithm; Paganin’s phase-retrieval; Datortomografi; Medicinsk forskning; Faskontrastavbildning; Propagation-baserad avbildning; SIRT; Iterativ algoritm; Paganins fasåterhämtning;

    Abstract : Phase-contrast imaging (PCI) is a modality of medical x-ray imaging that can solve one of the main limitations with conventional attenuation-based imaging: the imaging of materials with low attenuation coefficients, such as soft tissues. A modality of PCI, Propagation-based phase-contrast imaging (PBI), was used in this project. READ MORE