Essays about: "data augmentation"

Showing result 16 - 20 of 179 essays containing the words data augmentation.

  1. 16. Volumetric Image Segmentation of Lizard Brains

    University essay from KTH/Tillämpad fysik

    Author : Yulia Dragunova; [2023]
    Keywords : image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

    Abstract : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. READ MORE

  3. 17. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Henrik Träff; [2023]
    Keywords : Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

    Abstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE

  4. 18. Ankle Torque Estimation Using HDEMG Driven CNN-LSTM Model and Data Augmentation

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Haocheng Zhang; [2023]
    Keywords : data augmentation; deep learning; ankle joint torque estimation; HD-sEMG; dataökning; djupinlärning; vridmomentuppskattning av ankelleden; HD-sEMG;

    Abstract : Robotic-powered exoskeletons are increasingly used to assist patients with movement disorders in daily life and rehabilitation. Accurately estimating joint torque, especially for dynamic movement conditions using EMG, is crucial for effective assistance. READ MORE

  5. 19. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : M Asjid Tanveer; [2023]
    Keywords : Technology and Engineering;

    Abstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE

  6. 20. Exploring Normalizing Flow Modifications for Improved Model Expressivity

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marcel Juschak; [2023]
    Keywords : Normalizing Flows; Motion Synthesis; Invertible Neural Networks; Glow; MoGlow; Maximum Likelihood Estimation; Generative models; normaliserande flöden; rörelsesyntes; inverterbara neurala nätverk; Glow; MoGlow; maximum likelihood-skattning generativa modeller;

    Abstract : Normalizing flows represent a class of generative models that exhibit a number of attractive properties, but do not always achieve state-of-the-art performance when it comes to perceived naturalness of generated samples. To improve the quality of generated samples, this thesis examines methods to enhance the expressivity of discrete-time normalizing flow models and thus their ability to capture different aspects of the data. READ MORE