Essays about: "Convolutional Neural Networks"

Showing result 1 - 5 of 400 essays containing the words Convolutional Neural Networks.

  1. 1. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    University essay from KTH/Optimeringslära och systemteori

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

    Abstract : 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

  2. 2. Classification of Gear-shift data using machine learning

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Daniel Stenekap; [2021]
    Keywords : Machine Learning; AI;

    Abstract : 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

  3. 3. Group Invariant Convolutional Boltzmann Machines

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Maria Lindström; [2020-12-04]
    Keywords : Convolutional Boltzmann Machines; Convolutional neural networks; artificial neural networks; machine learning; group invariance; group equivariance;

    Abstract : 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

  4. 4. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Fredrik Skärberg; [2020-11-26]
    Keywords : Deep learning; convolutional neural networks; image analysis; semantic segmentation; focused ion beam scanning electron microscopy; porous materials; controlled drug release;

    Abstract : 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

  5. 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 grundutbildning

    Author : Alfred Andersson; [2020]
    Keywords : genetics; imputation; bioinformatics; neural networks; GWAS;

    Abstract : 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