Machine Learning for Biomedical Application
Source abstract
Abstract
The tremendous development of technology also affects medical science, including imaging diagnostics [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: ECG Monitoring and Analysis · COVID-19 diagnosis using AI · Artificial Intelligence in Healthcare
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Electronics, Lodz University of Technology, Żeromskiego 116, 90-924 Lodz, Poland
Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
References (11)
Show source-provided references
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7. Sage, A., and Badura, P. (2020). Intracranial Hemorrhage Detection in Head CT Using Double-Branch Convolutional Neural Network, Support Vector Machine, and Random Forest. Appl. Sci., 10.10.3390/app10217577 ↗
8. Song, Y., Qiao, X., Iwamoto, Y., and Chen, Y.-W. (2020). Automatic Cephalometric Landmark Detection on X-ray Images Using a Deep-Learning Method. Appl. Sci., 10.10.3390/app10072547 ↗
9. Mazur-Milecka, M., Kocejko, T., and Ruminski, J. (2020). Deep Instance Segmentation of Laboratory Animals in Thermal Images. Appl. Sci., 10.10.3390/app10175979 ↗
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11. Loh, H.W., Ooi, C.P., Vicnesh, J., Oh, S.L., Faust, O., Gertych, A., and Acharya, U.R. (2020). Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020). Appl. Sci., 10.10.3390/app10248963 ↗