Browsing by Keywords "convolutional neural networks (CNNs)"

Now showing items 1-5 of 5

  • Extracting high-dimensional features from medical images by utilizing deep learning techniques.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Trivizakis, Eleftherios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2019-02-05
    Machine Learning, as a field of computer science started in the early 1960s. Recently, with the rise of high-throughput computing and the massively available data, advanced machine learning techniques have led to unprecedented ...

  • Semantic segmentation of diabetic retinopathy lesions, using a UNET with pretrained encoder.

    H.M.U., School of Engineering (ScENG) MSc in Informatics & Multimedia
    Authors: Theodoropoulos, Dimitrios
    Thesis advisor: Marias, Konstantinos
    Publication Date: 2022-01-19
    With the emergence of Deep Learning nowadays, a lot of novel architectures have been devised to perform tasks such as classification, detection, segmentation etc. In Medical Imaging and especially in Ophthalmology, the ...

  • Skin lesion classification using deep learning neural networks.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Katrini, Chrysanthi
    Thesis advisor: Papadakis, Nikolaos
    Publication Date: 2017-08-25
    Melanoma is a type of skin cancer and it is characterized from the experts as the most aggressive. An early diagnosis and a surgery removal can give to the patient almost 99% survival rate. Several Computer-Aided ...

  • Inverse physical parameter estimation of vibrating membranes from sound using deep neural networks.

    H.M.U., School of Music and Optoacoustic Technologies (SMOT), MSc in Sound and Music Technologies
    Authors: Starakis, Michail
    Thesis advisor: Alexandraki, Chrysoula; Zervas, Panagiotis
    Publication Date: 2022-06-02
    Inverse problems in the field of acoustics can be valuable tools for retrieving information through the produced sound. At the same time, the rapid development of deep machine learning techniques and the remarkable ...

  • Deep learning framework, for image classification applications.

    T.E.I. of Crete, School of Engineering (STEF), PPS in Informatics and Multimedia
    Authors: Frangiadoulis, Alexandros
    Thesis advisor: Vidakis, Nikolaos
    Publication Date: 2016-08-23
    In this master thesis, we design and construct a Deep-Learning Framework, which is a model for building image classification applications. We demonstrate the “CNNs Tester” and a web-application structure. “CNNs Tester” ...