Sökning: "Patch-based training."

Hittade 4 uppsatser innehållade orden Patch-based training..

1. 1. Despeckling Echocardiograms Using Generative Adversarial Networks

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

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

   Sammanfattning : 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. LÄS MER

3. 2. Musikgenerering med Generativa motståndsnätverk

   Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

   Författare :Yupeng Li; Jonatan Linberg; [2023]
   Nyckelord :Artificial Intelligence; AI; Music; Generative Adversarial Networks; Artificiell Intelligens; AI; Musik;

   Sammanfattning : At present, state-of-the-art deep learning music generation systems require a lot time and hardware resources to develop. This means that they are almost exclusively available to large companies. In order to reduce these requirements, more efficient techniques and methods need to be utilised. LÄS MER

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

   Master-uppsats, KTH/Optimeringslära och systemteori

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

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, Linköpings universitet/Datorseende

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

   Sammanfattning : 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. LÄS MER