| Title: | Diagnostics support of musculoskeletal diseases using artificial neural network |
| Authors: | Novotný, Zdeněk Mareš, Jan Doležel, Petr |
| Citation: | 2021 International Conference on Applied Electronics: Pilsen, 7th – 8th September 2021, Czech Republic, p. 109-114. |
| Issue Date: | 2021 |
| Publisher: | University of West Bohemia |
| Document type: | conferenceObject konferenční příspěvek |
| URI: | http://hdl.handle.net/11025/45576 |
| ISBN: | 978–80–261–0972–3 (Print) 978–80–261–0973–0 (Online) |
| ISSN: | 1803–7232 (Print) 1805–9597 (Online) |
| Keywords: | biomedicína;diagnostika;Keras;muskuloskeletální onemocnění;Python;Tensorflow;umělá inteligence;umělá neuronová síť;big data |
| Keywords in different language: | biomedicine;diagnostics;Keras;musculoskeletal disease;Python;Tensorflow;artificial intelligence;artificial neural network;big data |
| Abstract in different language: | A vestibular schwannoma is a benign tumor,developing in the inner ear. As it grows, it may affectpatient’s hearing and body balance. If not treated, itcan also lead to death of the patient. Once it becomes aproblem, it is surgically removed. During the surgery,there is a high risk that surrounding nerves becomeharmed (it causes problems with facial movement). Thisdocument discusses evaluation of such injury, based on amodern approach of classification using artificial neuralnetwork. |
| Rights: | © University of West Bohemia, 2021 |
| Appears in Collections: | Applied Electronics 2021 Applied Electronics 2021 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Diagnostics_support_of_musculoskeletal_diseases_using_artificial_neural_network.pdf | Plný text | 1,01 MB | Adobe PDF | View/Open |
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