Essays about: "Pix2Pix"
Showing result 1 - 5 of 7 essays containing the word Pix2Pix.
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1. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. READ MORE
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2. Deep Learning Based Out-of-focus Detection on Surveillance Footage
University essay from Lunds universitet/Matematik LTHAbstract : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. READ MORE
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3. 3D Dose Prediction from Partial Dose Calculations using Convolutional Deep Learning models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, the problem of predicting the full dose distribution from a partially modeled dose calculation is addressed. Two solutions were studied: a vanilla Hierarchically Densely Connected U-net (HDUnet) and a Conditional Generative Adversarial Network (CGAN) with HDUnet as a generator. READ MORE
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4. Generating synthetic brain MR images using a hybrid combination of Noise-to-Image and Image-to-Image GANs
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Generative Adversarial Networks (GANs) have attracted much attention because of their ability to learn high-dimensional, realistic data distributions. In the field of medical imaging, they can be used to augment the often small image sets available. READ MORE
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5. Generating Synthetic Schematics with Generative Adversarial Networks
University essay from Högskolan Kristianstad/Fakulteten för naturvetenskapAbstract : This study investigates synthetic schematic generation using conditional generative adversarial networks, specifically the Pix2Pix algorithm was implemented for the experimental phase of the study. With the increase in deep neural network’s capabilities and availability, there is a demand for verbose datasets. READ MORE