Essays about: "Non-invasive detection"

Showing result 6 - 10 of 41 essays containing the words Non-invasive detection.

  1. 6. 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

  3. 7. Detection of local motion artifacts and image background in laser speckle contrast imaging

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Johannes Nyhlén; Märta Sund; [2023]
    Keywords : laser speckle contrast imaging; lsci; multi exposure laser speckle contrast imaging; melsci; machine learning; deep learning; statistical analysis; detection; local motion artifacts; 1D; 2D; 3D;

    Abstract : Laser speckle contrast imaging (LSCI) and its extension, multi-exposure laser speckle contrast imaging (MELSCI) are non-invasive techniques to monitor peripheral blood perfusion. One of the main drawbacks of LSCI and MELSCI in clinical use is that the techniques are sensitive to tissue movement. READ MORE

  4. 8. Validation of a cat activity monitor

    University essay from SLU/Dept. of Clinical Sciences

    Author : Daria Ketrzynska; [2023]
    Keywords : accelerometer-based activity monitor; activity; physical activity; monitor collar; cat; feline; validation; diabetes; drinking; urination;

    Abstract : Early detection of diseases and injuries in animals is crucial for their health and well-being. Early diagnosis can be assisted by objective registration of different types of physical activities or behaviour patterns. READ MORE

  5. 9. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Erika Ax; Elin Djerf; [2023]
    Keywords : mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

    Abstract : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. READ MORE

  6. 10. Design and evaluation of a novel Transillumination SFDI system for quantitative assessment of tissuesections for rapid, label-free cancer margin detection

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Merel Younan; [2023]
    Keywords : SFDI; transillumination SFDI system; tissue-conserving surgeries; thin layers; tissue analysis; skin cancer;

    Abstract : This study investigates the potential of Spatial Frequency Domain Imaging (SFDI) as a non-invasive imaging technique for tissue analysis in the context of Mohs surgery, a standard procedure for skin cancer removal with margin control. The current practice of performing multiple histopathologic sections during the procedure is time-consuming and labor-intensive. READ MORE