Sökning: "bildsegmentering"

Visar resultat 6 - 10 av 34 uppsatser innehållade ordet bildsegmentering.

1. 6. 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

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

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

   Sammanfattning : 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. LÄS MER

3. 7. Uncertainty Estimation in Volumetric Image Segmentation

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Donggyun Park; [2023]
   Nyckelord :Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

   Sammanfattning : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. LÄS MER

4. 8. Segmentering av medicinska bilder med inspiration från en quantum walk algoritm

   Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Bestun Altuni; Jasin Aman Ali; [2023]
   Nyckelord :Discrete time quantum walk; medical image segmentation; random walk; quantum walk; Tidsdiskret kvantvandring; medicinsk bildsegmentering; slumpmässig vandring; kvantvandring;

   Sammanfattning : För närvarande utforskas quantum walk som en potentiell metod för att analysera medicinska bilder. Med inspiration från Gradys random walk-algoritm för bildbehandling har vi utvecklat en metod som bygger på de kvantmekaniska fördelar som quantum walk innehar för att detektera och segmentera medicinska bilder. LÄS MER

5. 9. Dealing With Speckle Noise in Deep Neural Network Segmentation of Medical Ultrasound Images

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Olmo Daniel; [2022]
   Nyckelord :Deep Learning; Ultrasound; Speckle Filtering; Medical Image Segmentation; U-Net; Wavelet Transfrom; Djupinlärning; Ultraljud; Specklefiltrering; Medicinsk bildsegmentering; U-Net; Wavelet transformation;

   Sammanfattning : Segmentation of ultrasonic images is a common task in healthcare that requires time and attention from healthcare professionals. Automation of medical image segmentation using deep learning solutions is fast growing field and has been shown to be capable of near human performance. LÄS MER

7. 10. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Henning; [2022]
   Nyckelord :Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

   Sammanfattning : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. LÄS MER