Essays about: "Convolutional Neural Networks"
Showing result 1 - 5 of 400 essays containing the words Convolutional Neural Networks.
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1. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation
University essay from KTH/Optimeringslära och systemteoriAbstract : 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
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2. Classification of Gear-shift data using machine learning
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Today, automatic transmissions are the industrial standard in heavy-duty vehicles. However, tolerances and component wear can cause factory calibrated gearshifts to have deviations that have a negative impact on clutch durability and driver comfort. READ MORE
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3. Group Invariant Convolutional Boltzmann Machines
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is adapted to input data that is acted upon by any compact group G. READ MORE
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4. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. READ MORE
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5. Neural networks for imputation of missing genotype data : An alternative to the classical statistical methods in bioinformatics
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : In this project, two different machine learning models were tested in an attempt at imputing missing genotype data from patients on two different panels. As the integrity of the patients had to be protected, initial training was done on data simulated from the 1000 Genomes Project. READ MORE
