Essays about: "Patch-based training."

Found 3 essays containing the words Patch-based training..

  1. 1. Despeckling Echocardiograms Using Generative Adversarial Networks

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Falk DIppel; [2023-10-23]
    Keywords : Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

    Abstract : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. READ MORE

  3. 2. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    University essay from KTH/Optimeringslära och systemteori

    Author : Hanna Westermark; [2021]
    Keywords : Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Abstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE

  4. 3. Real-time 3D Semantic Segmentation of Timber Loads with Convolutional Neural Networks

    University essay from Linköpings universitet/Datorseende

    Author : Jessica Sällqvist; [2018]
    Keywords : Semantic Segmentation; Pixel-wise classification; Convolutional Neural Networks; Fully Convolutional Networks; Patch-based training.;

    Abstract : Volume measurements of timber loads is done in conjunction with timber trade. When dealing with goods of major economic values such as these, it is important to achieve an impartial and fair assessment when determining price-based volumes. READ MORE