Sökning: "CNN"

Visar resultat 1 - 5 av 17 avhandlingar innehållade ordet CNN.

  1. 1. Non-enhanced single-energy computed tomography of urinary stones

    Författare :Johan Jendeberg; Mats Lidén; Per Thunberg; Anders Magnusson; Örebro universitet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Diagnostic; CT; urinary stone; kidney stone; urolithiasis; phlebolith; uric acid; spontaneous passage; CNN; artificial intelligence;

    Sammanfattning : Computed tomography (CT) is the mainstay imaging method for urinary stones.The aim of this thesis was to optimize the information obtained from the initial CT scan to allow a well-founded diagnosis and prognosis, and to guide the clinician as early and as far as possible in the further treatment of urinary stone disease. LÄS MER

  2. 2. Automatic Melanoma Diagnosis in Dermoscopic Imaging Base on Deep Learning System

    Författare :Yali Nie; Jan Lundgren; Mattias O'Nils; Claes Lundström; Mittuniversitetet; []
    Nyckelord :MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; MEDICIN OCH HÄLSOVETENSKAP; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; MEDICAL AND HEALTH SCIENCES; Melanoma classification; computer vision; Deep learning; CNN;

    Sammanfattning : Melanoma is one of the deadliest forms of cancer. Unfortunately, its incidence rates have been increasing all over the world. One of the techniques used by dermatologists to diagnose melanomas is an imaging modality called dermoscopy. The skin lesion is inspected using a magnification device and a light source. LÄS MER

  3. 3. Multi-LSTM Acceleration and CNN Fault Tolerance

    Författare :Stefano Ribes; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Roofline Model; Fault Tolerance; Machine Learning; FPGA; CNNs; Caffe; SVD; LSTMs; HLS; Compression;

    Sammanfattning : This thesis addresses the following two problems related to the field of Machine Learning: the acceleration of multiple Long Short Term Memory (LSTM) models on FPGAs and the fault tolerance of compressed Convolutional Neural Networks (CNN). LSTMs represent an effective solution to capture long-term dependencies in sequential data, like sentences in Natural Language Processing applications, video frames in Scene Labeling tasks or temporal series in Time Series Forecasting. LÄS MER

  4. 4. Strategies of power in multilingual global broadcasters : How the BBC, CNN and Aljazeera shape their Middle East news discourse

    Författare :Leon Barkho; Lars-Åke Engblom; Robert Picard; Golam Rahman; Högskolan i Jönköping; []
    Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Media and communication studies; Medie- och kommunikationsvetenskap; Middle East; Mellanöstern;

    Sammanfattning :  This study deals with the Middle East reporting of three gigantic media companies which together are largely responsible for refining and shaping our views of events in the world. The informational and communicative arm of these giants – Aljazeera, the BBC and CNN – is unprecedented in the history of human communication. LÄS MER

  5. 5. Automated Gravel Road Condition Assessment : A Case Study of Assessing Loose Gravel using Audio Data

    Författare :Nausheen Saeed; Moudud Alam; Roger G. Nyberg; Diala Jomaa; Mirka Kans; Högskolan Dalarna; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Gravel roads; road maintenance; convolutional neural network CNN ; SVM; decision trees; ensemble bagged trees; GoogLeNet; ResNet50; ResNet18; sound analysis; Mikrodataanalys; Microdata Analysis;

    Sammanfattning : Gravel roads connect sparse populations and provide highways for agriculture and the transport of forest goods. Gravel roads are an economical choice where traffic volume is low. In Sweden, 21% of all public roads are state-owned gravel roads, covering over 20,200 km. LÄS MER