Výsledky vyhledávání - "Kostas Delibasis"

On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning

Autor: Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Ilias Maglogiannis

Publikováno v: Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference ISBN: 9783030487904
EANN

Skin cancer is one of the most diagnosed cancers according to the World Health Organization and one of the most malignant. Unfortunately, still the available annotated data are in most cases not enough to successfully train deep learning algorithms t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3954bda53017c4f530dfc87d74f0f72d
https://doi.org/10.1007/978-3-030-48791-1_29

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Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters

Autor: Kostas Delibasis, Spiros V. Georgakopoulos, Konstantina Kottari, Vassilis P. Plagianakos, Ilias Maglogiannis

Publikováno v: Neural Computing and Applications. 31:1805-1822

In this work, we focus in the analysis of dermoscopy images using convolutional neural networks (CNNs). More specifically, we investigate the value of augmenting CNN inputs with the response of mid-level computer vision filters, using the traditional

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0692461f473d21679869358c1ca1652
https://doi.org/10.1007/s00521-018-3711-y

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Pose recognition using convolutional neural networks on omni-directional images

Autor: Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari

Publikováno v: Neurocomputing. 280:23-31

Convolutional neural networks (CNNs) are used frequently in several computer vision applications. In this work, we present a methodology for pose classification of binary human silhouettes using CNNs, enhanced with image features based on Zernike mom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::471efa10720a4f2124fcfce4b34bd819
https://doi.org/10.1016/j.neucom.2017.08.071

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Real time vision-based measurements for quality control of industrial rods on a moving conveyor

Autor: Vassilis P. Plagianakos, Konstantina Kottari, Kostas Delibasis

Publikováno v: Multimedia Tools and Applications. 77:9307-9324

This work proposes a fully automated approach for vision-based quality control of manufactured metal rods. The proposed approach is able to detect the main axis of the rod and calculate its curvature, versus specifications. The proposed algorithm uti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b22470d98bff691ec6b15832072b7148
https://doi.org/10.1007/s11042-017-4891-7

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Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification

Autor: Konstantina Kottari, Vassilis P. Plagianakos, Ilias Maglogiannis, Spiros V. Georgakopoulos, Kostas Delibasis

Publikováno v: Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014179
ICANN (1)

Convolutional Neural Networks (CNNs) have been proven very effective in image classification and object recognition tasks, often exceeding the performance of traditional image analysis techniques. However, training a CNN requires very extensive datas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c64d79a017f0d975c9f11a9c2a1d8c5e
https://doi.org/10.1007/978-3-030-01418-6_19

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Detection of Malignant Melanomas in Dermoscopic Images Using Convolutional Neural Network with Transfer Learning

Autor: Kostas Delibasis, Vassilis P. Plagianakos, Ilias Maglogiannis, Spiros V. Georgakopoulos, Konstantina Kottari

Publikováno v: Engineering Applications of Neural Networks ISBN: 9783319651712
EANN

In this work, we report the use of convolutional neural networks for the detection of malignant melanomas against nevus skin lesions in a dataset of dermoscopic images of the same magnification. The technique of transfer learning is utilized to compe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e5a90d7386a8036d5e98a2ca39d89b9a
https://doi.org/10.1007/978-3-319-65172-9_34

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Convolutional Neural Networks for Pose Recognition in Binary Omni-directional Images

Autor: Vassilis P. Plagianakos, Ilias Maglogiannis, Kostas Delibasis, Spiros V. Georgakopoulos, Konstantina Kottari

Publikováno v: IFIP Advances in Information and Communication Technology ISBN: 9783319449432
AIAI

In this work, we present a methodology for pose classification of silhouettes using convolutional neural networks. The training set consists exclusively from the synthetic images that are generated from three-dimensional (3D) human models, using the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb44ff462498bad0b995085fae1451e6
https://doi.org/10.1007/978-3-319-44944-9_10

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A Tractography Algorithm for MR Diffusion Tensor Imaging Based on Minimum-Cost Path

Autor: Ilias Maglogiannis, C. Aronis, Kostas Delibasis, M. Fanariotis

Publikováno v: XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 ISBN: 9783319327013

Diffusion Tensor Imaging (DTI) is a powerful technique for studying tissue connectivity that starts to find routine clinical use in Magnetic Resonance Imaging (MRI), primarily in the brain. The extraction of tracts is an issue under active research.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04f7ff62250134727422f0f29d5a39da
https://doi.org/10.1007/978-3-319-32703-7_60

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Combining a morphological interpolation approach with a surface reconstruction method for the 3-D representation of tomographic data

Autor: Kostas Delibasis, Konstantina S. Nikita, Pantelis A. Asvestas, Nicolaos A. Mouravliansky, George K. Matsopoulos

Publikováno v: Journal of Visual Communication and Image Representation. 15:565-579

In this paper, a new interpolation scheme, based on Mathematical Morphology and a modified Marching Cubes (MC) Algorithm to reconstruct 3-D anatomical structures is presented. The proposed interpolation technique is implemented using morphological op

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb0c9499b11101291b6c28e00d6e8d6c
https://doi.org/10.1016/j.jvcir.2003.12.003

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Activity Recognition in Assistive Environments: The STHENOS Approach

Autor: Ilias Maglogiannis, Theodosios Goudas, Charalampos Doukas, Dimitrios Kosmopoulos, Kostas Delibasis

Publikováno v: Universal Access in Human-Computer Interaction. Aging and Assistive Environments ISBN: 9783319074450
HCI (6)

The paper presents the research conducted within the framework of the STHENOS project www.sthenos.gr, which aims at the development of methodologies and systems for assistive environments. The proposed systems and applications are capable of recogniz

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::61102b6b95295ec2cbcf5fbab189cd14
https://doi.org/10.1007/978-3-319-07446-7_51

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