Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dimitrios E. Diamantis"'
Publikováno v:
IEEE Access, Vol 12, Pp 25668-25683 (2024)
Medical image synthesis has emerged as a promising solution to address the limited availability of annotated medical data needed for training machine learning algorithms in the context of image-based Clinical Decision Support (CDS) systems. To this e
Externí odkaz:
https://doaj.org/article/ca28c7d5c29e44018a783e42f5ff719e
Publikováno v:
IEEE Access, Vol 9, Pp 51970-51982 (2021)
Machine Learning (ML) applications are growing in an unprecedented scale. The development of easy-to-use machine-learning application frameworks has enabled the development of advanced artificial intelligence (AI) applications with only a few lines o
Externí odkaz:
https://doaj.org/article/4a9da234743a4d608941a9084b404eb3
Autor:
Serafeim Moustakidis, Charis Ntakolia, Dimitrios E Diamantis, Nikolaos Papandrianos, Elpiniki I Papageorgiou
Publikováno v:
Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3 ISBN: 9780750336031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cf504f5c79c7fda4f64e0c2d1d33015
https://doi.org/10.1088/978-0-7503-3603-1ch10
https://doi.org/10.1088/978-0-7503-3603-1ch10
Publikováno v:
IEEE Access, Vol 9, Pp 51970-51982 (2021)
Machine Learning (ML) applications are growing in an unprecedented scale. The development of easy-to-use machine-learning application frameworks has enabled the development of advanced artificial intelligence (AI) applications with only a few lines o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cf796228fb16f4bdebaded4d41db641
https://ieeexplore.ieee.org/document/9389709/
https://ieeexplore.ieee.org/document/9389709/
Autor:
Alexandros Mitsou, Dimitra-Christina C. Koutsiou, Dimitrios E. Diamantis, Theodoros Psallidas, George Dimas, Michael Vasilakakis, Panagiotis Kalozoumis, Evaggelos Spyrou, Stavros J. Perantonis, Artur Krukowski, Dimitris K. Iakovidis
Publikováno v:
Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0829c63822bab0f4f9838ac73d3270a9
https://doi.org/10.1145/3529190.3534784
https://doi.org/10.1145/3529190.3534784
Publikováno v:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f92160182f67cebdf456fdeb6239329
https://doi.org/10.1109/ivmsp54334.2022.9816329
https://doi.org/10.1109/ivmsp54334.2022.9816329
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783030968014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45db47ef0f5174ee717aa133886fdce4
https://doi.org/10.1007/978-3-030-96802-1_8
https://doi.org/10.1007/978-3-030-96802-1_8
Convolutional Neural Networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality reduction. The impact of pooling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee64c9e115233fa164363ba5b37087ae
Publikováno v:
Biomedical Signal Processing and Control. 49:192-201
In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed architecture, named Look-B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b013d05b87afadf6e42728ac6c78c4b
https://doi.org/10.1016/j.bspc.2018.12.005
https://doi.org/10.1016/j.bspc.2018.12.005
Autor:
Dimitrios E. Diamantis, Elpiniki I. Papageorgiou, Serafeim Moustakidis, Nikolaos Papandrianos, Charis Ntakolia
Publikováno v:
Healthcare, Vol 8, Iss 493, p 493 (2020)
Healthcare
Volume 8
Issue 4
Healthcare
Volume 8
Issue 4
Bone metastasis is among the most frequent in diseases to patients suffering from metastatic cancer, such as breast or prostate cancer. A popular diagnostic method is bone scintigraphy where the whole body of the patient is scanned. However, hot spot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5610d49d53457843a24641cf9be00275
https://www.mdpi.com/2227-9032/8/4/493
https://www.mdpi.com/2227-9032/8/4/493