Essays about: "U-Net"

Showing result 11 - 15 of 102 essays containing the word U-Net.

1. 11. Heart- and Sapwood Segmentation on Hyperspectral Images using Deep Learning

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Samuel Hallin; Simon Samnegård; [2023]
   Keywords : Computer Vision; Hyperspectral Imaging; Heartwood; Sapwood; Deep Learning; Segmentation; Dimensionality Reduction; PCA; PLS; SVM; U-NET; U-within-U-Net;

   Abstract : For manufacturers in the wood industry, an important way to make the production more effective is to automate the process of detecting defects and different attributes on boards. One important attribute on most boards is heartwood and sapwood. READ MORE

3. 12. 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

4. 13. Uncertainty Estimation in Volumetric Image Segmentation

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

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

   Abstract : 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. READ MORE

5. 14. 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. 15. Enhancement-basedSmall TargetDetection for InfraredImages

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

   Author : Yang Hanqi; [2023]
   Keywords : Infrared Images; Small targets; Dilated Convolution; Infraröda bilder; Små mål; Dilaterad konvolution;

   Abstract : Infrared small target detection is widely used in fields such as military and security. UNet, which is a classical semantic segmentation method proposed in 2015, has shown excellent performance and robustness. However, U-Net suffers from the problem of losing small targets in deep layers after multiple down-sampling operations. READ MORE