Essays about: "U-Net"

Showing result 1 - 5 of 80 essays containing the word U-Net.

  1. 1. Automatic 3D Segmentation in CT images of Congenital Heart Defects using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Matilda Dahlström; [2022]
    Keywords : Technology and Engineering;

    Abstract : 3D segmentations of hearts with congenital heart defects are routinely used today. They are used to study hearts and to prepare before surgery which makes them an important part of patient care. The 3D segmentations are usually created manually, which is a time-consuming process. READ MORE

  2. 2. Iterative full-genome phasing and imputation using neural networks

    University essay from Uppsala universitet/Människans evolution

    Author : Lotta Rydin; [2022]
    Keywords : Machine learning; Genotype data; U-Net; Convolutional neural networks;

    Abstract : In this project, a model based on a convolutional neural network have been developed with the aim of imputing missing genotype data. This model was based on an already existing autoencoder that was modified into a U-Net structure. The network was trained and used iteratively with the intention that the result would improve in each iteration. READ MORE

  3. 3. Particle Segmentation In Transmission Electron Microscopy Images

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Lisa Svens; [2022]
    Keywords : ;

    Abstract : When pharmaceutical companies develop new drugs or vaccines there are large amounts of data in the form of images that need to be analysed, and any automation of that process is helpful to reduce time. These analyses could be for example concentration, decomposition, or classification, and essential to all these is high-quality particle localisation and segmentation. READ MORE

  4. 4. Deep Learning Based Focus lnterpolation for Whole Slide Images

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Davis Nicmanis; [2022]
    Keywords : ;

    Abstract : Whole slide imaging is a crucial component of digital pathology, which emulates conventional microscopy by scanning the entire microscope slide. It results in a large digital image that can be examined by a cytopathologist or used in further computer-assisted image analysis. READ MORE

  5. 5. 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