Essays about: "Bildsegmentering"

Showing result 1 - 5 of 31 essays containing the word Bildsegmentering.

  1. 1. Image Segmentation and Object Identification in Cancer Tissue Slides from Fluorescence Microscopy

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Sebastian Eriksson; Fredrik Forsberg; [2023]
    Keywords : image analysis; cancer research; fluorescent microscopy; image segmentation; bildanalys; cancerforskning; fluorescensmikroskopi; bildsegmentering;

    Abstract : In cancer research, there is a need to make accurate spatial measurements in multi-layered fluorescence microscopy images. Researchers would like to measure distances in and between biological objects such as nerves and tumours, to investigate questions which includes if nerve distribution in and around tumours can have a prognostic value in cancer diagnostics. READ MORE

  2. 2. Volumetric Image Segmentation of Lizard Brains

    University essay from KTH/Tillämpad fysik

    Author : Yulia Dragunova; [2023]
    Keywords : image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

    Abstract : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. READ MORE

  3. 3. 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. 4. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

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

    Author : Albert Sund Aillet; [2023]
    Keywords : Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

    Abstract : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. READ MORE

  5. 5. Land Use/Land Cover Classification From Satellite Remote Sensing Images Over Urban Areas in Sweden : An Investigative Multiclass, Multimodal and Spectral Transformation, Deep Learning Semantic Image Segmentation Study

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Oskar Aidantausta; Patrick Asman; [2023]
    Keywords : data fusion; deep learning; land use land cover classification; multiclass; multimodal; remote sensing; semantic segmentation; Sentinel satellite; spectral index; U-Net; Urban Atlas;

    Abstract : Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. READ MORE