Essays about: "diagnos"

Showing result 16 - 20 of 296 essays containing the word diagnos.

  1. 16. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip

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

    Author : Ebba Bråtman; Lucas Dow; [2023]
    Keywords : ;

    Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE

  3. 17. Predictive MR Image Generation for Alzheimer’s Disease and Normal Aging Using Diffeomorphic Registration

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

    Author : Yuqi Zheng; [2023]
    Keywords : Medical Image Generation; Brain Aging; Diffeomorphic Registration; AlzheimerŠs Disease; Medicinsk bildgenerering; Åldrande av hjärnan; DiffeomorĄsk registrering; Alzheimers sjukdom;

    Abstract : Alzheimer´s Disease (AD) is the most prevalent cause of dementia, signifying a progressive and degenerative brain disorder that causes cognitive function deterioration including memory loss, communication difficulties, impaired judgment, and changes in behavior and personality. Compared to normal aging, AD introduces more profound cognitive impairments and brain morphology changes. READ MORE

  4. 18. Deep learning for temporal super-resolution of 4D Flow MRI

    University essay from KTH/Matematik (Avd.)

    Author : Pia Callmer; [2023]
    Keywords : Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

    Abstract : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. READ MORE

  5. 19. TransRUnet: 2D Detection and Segmentation of Lymphoma Lesions in Full-Body PET-CT Images

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Lasse Stahnke; [2023]
    Keywords : Lymphoma; PET-CT; Deep Learning; CNN; Retina U-Net; Feature Pyramid Transformer; Detection; Segmentation; Lymfom; PET-CT; djupinlärning; CNN; Retina U-Net; Feature Pyramid Transformer; detektion; segmentering;

    Abstract : Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to large image volumes and the heterogeneity of lesions. READ MORE

  6. 20. 3D Gaze Estimation on Near Infrared Images Using Vision Transformers

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

    Author : Emil Emir Vardar; [2023]
    Keywords : Gaze estimation; Eye tracking; Vision Transformers ViTs ; Hybrid ViTs; Deep learning; Near-infrared NIR images; Ögonblicksuppskattning; Blickspårning; Vision Transformers ViTs ; Hybrida ViTs; Djupinlärning; Nära-infraröda NIR bilder;

    Abstract : Gaze estimation is the process of determining where a person is looking, which has recently become a popular research area due to its broad range of applications. For example, tools that estimate gaze are used for research, medical diagnosis, virtual and augmented reality, driver assistance system, and many more. READ MORE