Essays about: "Image-segmentation"

Showing result 21 - 25 of 135 essays containing the word Image-segmentation.

1. 21. Dealing With Speckle Noise in Deep Neural Network Segmentation of Medical Ultrasound Images

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

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

   Abstract : 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. READ MORE

3. 22. Sample Image Segmentation of Microscope Slides

   University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

   Author : Maija Persson; [2022]
   Keywords : image segmentation; fully convolutional network; microscope slide; Kato-Katz;

   Abstract : In tropical and subtropical countries with bad infrastructure there exists diseases which are often neglected and untreated. Some of these diseases are caused by parasitic intestinal worms which most often affect children severely. The worms spread through parasite eggs in human stool that end up in arable soil and drinking water. READ MORE

4. 23. Observation Based Modeling of Liquid Slosh in Drop Tests

   University essay from Lunds universitet/Matematik LTH

   Author : Victor Ekblad; Axl Roos; [2022]
   Keywords : Sloshing; Fluid Dynamics; Image Segmentation; 3D reconstruction; Machine Learning; U-Net; CNN; GCN; LSTM; Mathematics and Statistics;

   Abstract : Tetra Pak® is a world leading food packaging company with a large variety of paperboard beverage packages. In the development of paperboard packages, an essential component is utilizing simulation models long before physical prototypes are manufactured. This speeds up the development process and allows quick evaluation of new designs. READ MORE

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

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

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

   Abstract : 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. READ MORE

6. 25. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications

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

   Author : Jakob Melki; [2022]
   Keywords : Artificial intelligence AI ; Automated assembly and disassembly; Computer vision; Machine learning; Neural networks; Object detection; Screw hole detection; Semantic segmentation; Artificiell intelligens AI ; Automatiserad montering och demontering; Datorseende; Maskininlärning; Neurala nätverk; Objekt detektering; Skruvhålsdetektering; Semantisk segmentering;

   Abstract : This project is about screw hole detection using neural networks for automated assembly and disassembly. In a lot of industrial companies, such as Ericsson AB, there are products such as radio units or filters that have a lot of screw holes. READ MORE