Essays about: "evaluation of image segmentation"

Showing result 21 - 25 of 77 essays containing the words evaluation of image segmentation.

1. 21. An evaluation of using a U-Net CNN with a random forest pre-screener : On a dataset of hand-drawn maps provided by länsstyrelsen i Jönköping

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Robin Hellgren; Martin Axelsson; [2021]
   Keywords : Machine learning; CNN; pre-screener; image segmentation; U-Net; random forest;

   Abstract : Much research has been done on the use of machine learning to extract features such as buildings, lakes et cetera from satellite imagery, and while this dataset is valuable for many use cases, it is limited to time periods in which satellites were used. Historical maps have a much greater range of available time periods but the viability of using machine learning to extract data from these has not been investigated to any great extent. READ MORE

3. 22. Segmenting the Left Atrium in Cardic CT Images using Deep Learning

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Aman Kumar Nayak; [2021]
   Keywords : Deep Learning; UNet; Image Segmentation;

   Abstract : Convolution neural networks have achieved a state of the art accuracy for multi-class segmentation in biomedical image science. In this thesis, a 2-Stage binary 2D UNet and MultiResUNet are used to segment the 3D cardiac CT Volumes. 3D volumes have been sliced into 2D images. READ MORE

4. 23. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Omkar Bhutra; [2021]
   Keywords : Convolutional Neural Networks; 4D flow MRI; 3D U-Net; Cardiovascularimage segmentation; Uncertainty estimation; Bayesian 3D U-Net;

   Abstract : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. READ MORE

5. 24. Evaluation of Instance Segmentation Methods in the Context of Construction Waste

   University essay from Lunds universitet/Matematik LTH

   Author : Emil Sandelin; [2021]
   Keywords : Image analysis; Instance segmentation; Mask RCNN; SOLOv2; Mathematics and Statistics;

   Abstract : With the progress made within the field of computer vision the last few years, it is starting to become possible to perform instance segmentation in real time with relatively cheap hardware. This paper's main purpose is to investigate different methods of instance segmentation in the specific case of segmenting construction waste with only a single class. READ MORE

6. 25. Detecting illegal gold mining sites in the Amazon forest : Using Deep Learning to Classify Satellites Images

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

   Author : Nathan Labbe; [2021]
   Keywords : Deep Learning; Image Classification; Image Segmentation; Environmental Monitoring; Illegal Gold Mines Detection; Djupinlärning; bildklassificering; bildsegmentering; miljöövervakning; upptäckt av illegala guldgruvor;

   Abstract : Illegal gold mining in the Amazon forest has increased dramatically since 2005 with the rise in the price of gold. The use of chemicals such as mercury, which facilitate the gold extraction, increases the toxicity of the soil and can enter the food chain, leading to health problems for the inhabitants, and causes the environmental scourge we know today. READ MORE