Essays about: "image segmentation"

Showing result 1 - 5 of 286 essays containing the words image segmentation.

  1. 1. Characterization of discrepancies between manual and automatic segmentation to improve anatomical brain atlases

    University essay from

    Author : Anna Sörensson; [2021-05-10]
    Keywords : Medical physics; Anatomical brain atlas; Image segmentation; Image registration;

    Abstract : Purpose: To characterize discrepancies between expert manually segmented brain images fromHammers Atlas Database and automatically generated segmentations of the same images; to decide whether they can be attributed to flaws in the automatic segmentation or in the manual segmentation; and to determine general rules that enable these decisions.Theory: Image segmentation plays an important role in clinical neuroscience and experimental medicine for extraction of information from medical images, and it is a fundamental image processing step in medical image analysis. READ MORE

  2. 2. ATLAS DATABASES OF HUMAN BRAIN ANATOMY: QUALITATIVE AND QUANTITATIVE COMPARISON

    University essay from

    Author : Amanda Philipsson Franzén; [2021-01-11]
    Keywords : Medical physics; Brain atlas concordance problem; Quantitative comparison; Qualitative comparison; Hammersmith; 2012 MICCAI Multi-Atlas Labelling Challenge Data;

    Abstract : The purpose of this study was to quantitatively and qualitatively compare the two brain atlases databases, Hammersmith and 2012 MICCAI Multi-Atlas Labelling Challenge data, by developing a quantitative method.TheoryAnatomical atlases of the human brain provide reference information about its structure. READ MORE

  3. 3. Operational data extraction using visual perception

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

    Author : Nagarajan Shunmugam; [2021]
    Keywords : Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE

  4. 4. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  5. 5. GAN-based Automatic Segmentation of Thoracic Aorta from Non-contrast-Enhanced CT Images

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

    Author : Libo Xu; [2021]
    Keywords : Non-contrast-enhanced; Medical Image Segmentation; Image-to-image Translation; U-Net; Generative Adversarial Network; End-to-end; Two-stage;

    Abstract : The deep learning-based automatic segmentation methods have developed rapidly in recent years to give a promising performance in the medical image segmentation tasks, which provide clinical medicine with an accurate and fast computer-aided diagnosis method. Generative adversarial networks and their extended frameworks have achieved encouraging results on image-to-image translation problems. READ MORE