Essays about: "MultiResUNet"
Found 4 essays containing the word MultiResUNet.
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1. Segmenting the Left Atrium in Cardic CT Images using Deep Learning
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : 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. READ MORE
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2. An evaluation of U-Net’s multi-label segmentation performance on PDF documents in a medical context
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Evaluating CNN-based models for unsupervised image denoising
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : 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. READ MORE
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4. Automatic segmentation of articular cartilage in arthroscopic images using deep neural networks and multifractal analysis
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : 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. READ MORE
