Výsledky vyhledávání - "Jiri Blahuta"

MEASURING AND EVALUATION OF THE ECHOGENICITY GRADE OF SUBSTANTIA NIGRA IN MRI SEQUENCES VS B-MODE ULTRASOUND IMAGING USING THE SAME ALGORITHM: PILOT COMPARISON STUDY

Autor: Jiri Blahuta, Tomas Soukup, Jan Lavrincik, Lukas Pavlik, Jiri Kozel

Publikováno v: 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing.

Diagnostic ultrasound (US) and magnetic resonance imaging (MRI) are important medical imaging methods in modern radiology. Our research is focused on imaging brain structures in neurology. In this paper we present differences of digital image analysi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e41a22b31407d933661ebad9ce557f2f
https://doi.org/10.5593/sgem2022/2.1/s07.08

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Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study

Autor: Jiri Blahuta, Tomas Soukup, Jan Lavrincik, Lukas Pavlik, Zuzana Repaska

Publikováno v: Bioinformatics and Biomedical Engineering ISBN: 9783031077036

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04e7cf90edecc92e2b48033dd7cc3c70
https://doi.org/10.1007/978-3-031-07704-3_23

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USING IMAGE PROCESSING SOFTWARE DEVELOPED FOR B-IMAGING ON MR IMAGES BASED ON THRESHOLDING ALGORITHM IN A SELECTABLE REGION OF INTEREST

Autor: Jiri Blahuta, Tomas Soukup, Jan Lavrincik, Lukas Pavlik

Publikováno v: SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cdefc9475a2af4a30a1f37f31a72af91
https://doi.org/10.5593/sgem2021/2.1/s07.26

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The Reproducibility Assessment of Black-White Pixels Ratio In Transcranial B-images of Medial Temporal Lobe in Application for Detectable Feature of Alzheimer’s Disease

Autor: Tomas Soukup, Jiri Blahuta

Publikováno v: 2020 International Conference on Biomedical Innovations and Applications (BIA).

The aim of this paper is analysis the black-white pixels ratio in medial temporal lobe (MTL) brain structure in digitized transcranial B-images using own developed software BMODE Assist. This ratio could be a corresponding marker with the echogenicit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ab7afdf0d10c758e24f429649c3f3a92
https://doi.org/10.1109/bia50171.2020.9244520

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THE CLASSIFICATION OF THE PROGRESSION OF ATHEROSCLEROTIC PLAQUES IN B-IMAGES BETWEEN COMPUTER IMAGE ANALYSIS USING ECHOGENICITY INDEX AND VISUAL ASSESSMENT

Autor: Lukas Pavlik, Jiri Blahuta, Tomas Soukup

Publikováno v: SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eef90dd241788c0168ca91f49a38b75d
https://doi.org/10.5593/sgem2020/2.1/s07.044

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ONLINE MEDICAL INFORMATION SYSTEM TO CREATE A DECISION-MAKING EXPERT SYSTEM FOR RISK ASSESSMENT OF ATHEROSCLEROTIC PLAQUES FROM B-IMAGES AND HISTOLOGICAL PATTERNS

Autor: Jiri Blahuta

Publikováno v: SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c02f32254dfbb22722e21f8f0ee9783d
https://doi.org/10.5593/sgem2019/2.1/s07.066

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The Information System for the Research in Carotid Atherosclerosis

Autor: Tomas Soukup, Jiri Blahuta

Publikováno v: Communications in Computer and Information Science ISBN: 9783030273545
Innovate-Data

This work addresses the possibility of using a new information system and is focused on reproducibility of the Echo-Index between two non-experienced independent observers for atherosclerotic plaques displayed on B-images. The Echo-Index is a numeric

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55a542f9383d133a863b7444c0ed22de
https://doi.org/10.1007/978-3-030-27355-2_12

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The Concept of an Artificial Neural Network for the Classification of Atheromous Plaques from Digitized Segmented Histological Images

Autor: Jiri Blahuta, Jakub Skacel, Petr Cermak

Publikováno v: 2018 14th International Computer Engineering Conference (ICENCO).

This paper is dedicted to the concept of an artificial neural network (ANN) for the classification of atheromatous plaque based on digitized histological patterns of areas segmented by means of the Region Growing algorithm. For this purpose, a multi-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::50893c02e2f1f08e791c4b12b3a15238
https://doi.org/10.1109/icenco.2018.8636116

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