Essays about: "Convolutional Neural Network"

Showing result 1 - 5 of 426 essays containing the words Convolutional Neural Network.

  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. Evaluation of In-Silico Labeling for Live Cell Imaging

    University essay from Umeå universitet/Institutionen för fysik

    Author : Elsa Sörman Paulsson; [2021]
    Keywords : Deep learning; Machine Learning; Image analysis; CNN; cell; live cell imaging; supervised learning; AI; artificial intelligence; sartorius;

    Abstract : Today new drugs are tested on cell cultures in wells to minimize time, cost, andanimal testing. The cells are studied using microscopy in different ways and fluorescentprobes are used to study finer details than the light microscopy can observe.This is an invasive method, so instead of molecular analysis, imaging can be used. READ MORE

  3. 3. Feasibility of Dynamic SPECT-Renography with Automated Evaluation Using a Deep Neural Network

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Viktor Rogowski; [2021]
    Keywords : Medicine and Health Sciences;

    Abstract : Introduction: Renography is a standard diagnostic examination that evaluates renal function, renal pelvic dilatation and urinary obstruction. Renography is performed by injecting a radiopharmaceutical (predominately 99mTc-MAG3) and using gamma camera to image the biodistribution in a dynamic sequence. READ MORE

  4. 4. Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG

    University essay from Lunds universitet/Matematisk statistik

    Author : Oskar Keding; David Ohlin; [2021]
    Keywords : Machine Learning; machine; learning; neural; network; statistics; EEG; emotion; semantic; emotional; signal; processing; reassignment; time-frequency; spectrogram; brain processing; bci; CNN; convolutional; Mathematics and Statistics;

    Abstract : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. READ MORE

  5. 5. Optimisation of autoencoders for prediction of SNPs determining phenotypes in wheat

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildningUppsala universitet/Institutionen för informationsteknologi

    Author : Karthik Nair; [2021]
    Keywords : Deep Learning; Machine Learning; Convolutional Neural Networks; Convolutional Variational Autoencoders; Autoencoders; SNP-Phenotype relationships; Genetics; Agricultural Bioinformatics; Neural Networks; Unsupervised Learning;

    Abstract : The increase in demand for food has resulted in increased demand for tools that help streamline plant breeding process in order to create new varieties of crops. Identifying the underlying genetic mechanism of favourable characteristics is essential in order to make the best breeding decisions. READ MORE