Sökning: "MultiResUNet"

Hittade 4 uppsatser innehållade ordet MultiResUNet.

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

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Aman Kumar Nayak; [2021]
   Nyckelord :Deep Learning; UNet; Image Segmentation;

   Sammanfattning : 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. LÄS MER

3. 2. An evaluation of U-Net’s multi-label segmentation performance on PDF documents in a medical context

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fredrik Sebek; [2021]
   Nyckelord :U-Net; SS-U-Net; MultiResUNet; Portable; Document; Format; PDF; Segmentation; Multi-label; Conversion; U-Net; SS-U-Net; MultiResUNet; Bärbart; Dokumentformat; PDF; Segmentering; Konvertering;

   Sammanfattning : The Portable Document Format (PDF) is an ideal format for viewing and printing documents. Today many companies store their documents in a PDF format. However, the conversion from a PDF document to any other structured format is inherently difficult. LÄS MER

4. 3. Evaluating CNN-based models for unsupervised image denoising

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Johan Lind; [2021]
   Nyckelord :denoising; deep learning; unsupervised learning; CNN; image processing;

   Sammanfattning : Images are often corrupted by noise which reduces their visual quality and interferes with analysis. Convolutional Neural Networks (CNNs) have become a popular method for denoising images, but their training typically relies on access to thousands of pairs of noisy and clean versions of the same underlying picture. LÄS MER

5. 4. Automatic segmentation of articular cartilage in arthroscopic images using deep neural networks and multifractal analysis

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Mikael Ångman; Hampus Viken; [2020]
   Nyckelord :Convolutional neural networks; multifractal analysis; arthroscopy; semantic segmentation; wavelet leaders; wavelet p-leaders;

   Sammanfattning : Osteoarthritis is a large problem affecting many patients globally, and diagnosis of osteoarthritis is often done using evidence from arthroscopic surgeries. Making a correct diagnosis is hard, and takes years of experience and training on thousands of images. LÄS MER