Sökning: "convolutional neural networks"

Visar resultat 1 - 5 av 420 uppsatser innehållade orden convolutional neural networks.

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

    Master-uppsats, KTH/Optimeringslära och systemteori

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

    Sammanfattning : 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. LÄS MER

  2. 2. Operational data extraction using visual perception

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nagarajan Shunmugam; [2021]
    Nyckelord :Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Sammanfattning : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. LÄS MER

  3. 3. Deep Learning for Iceberg Detection in Satellite Images

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Shuzhi Dong; [2021]
    Nyckelord :;

    Sammanfattning : The application of satellite images for ship and iceberg monitoring is essential in many ways in Arctic waters. Even though the detection of ships and icebergs in images is well established using Geoscience techniques, the discrimination between those two target classes still represents a challenge for operational scenarios. LÄS MER

  4. 4. Real-time hand segmentation using deep learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Federico Favia; [2021]
    Nyckelord :Hand Segmentation; Semantic Segmentation; Deep Learning; Convolutional Neural Networks; Real-time; Augmented Reality; Embedded Devices; Dataset; Transfer Learning; Handsegmentering; Semantisk Segmentering; Djupinlärning; Konvolutionsneurala Nätverk; Realtid; Förstärkt Verklighet; Inbäddade Enheter; Datauppsättning; Transferlärning;

    Sammanfattning : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. LÄS MER

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

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningUppsala universitet/Institutionen för informationsteknologi

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

    Sammanfattning : 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. LÄS MER