Automated detection of clinical depression based on convolution neural network model.
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- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. 131, doi. 10.1515/bmt-2021-0232
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- Publication type:
- Article
Works matching IS 00135585 AND DT 2022 AND VI 67 AND IP 2
Results: 8
1
2
Classification of breast cancer with deep learning from noisy images using wavelet transform.
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- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. 143, doi. 10.1515/bmt-2021-0163
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- Publication type:
- Article
3
Real-time classification of movement patterns of tremor patients.
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- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. 119, doi. 10.1515/bmt-2021-0140
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- Publication type:
- Article
4
A machine learning approach to identify hand actions from single-channel sEMG signals.
- Published in:
- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. 89, doi. 10.1515/bmt-2021-0072
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- Article
5
Frontmatter.
- Published in:
- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. i, doi. 10.1515/bmt-2022-frontmatter2
- Publication type:
- Article
6
Smart piezoelectric biomaterials for tissue engineering and regenerative medicine: a review.
- Published in:
- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. 71, doi. 10.1515/bmt-2021-0265
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- Publication type:
- Article
7
Comparison of the regulatory requirements for custom-made medical devices using 3D printing in Europe, the United States, and Australia.
- Published in:
- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. 61, doi. 10.1515/bmt-2021-0266
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- Publication type:
- Article
8
Stacking classifier to improve the classification of shoulder motion in transhumeral amputees.
- Published in:
- Biomedical Engineering / Biomedizinische Technik, 2022, v. 67, n. 2, p. 105, doi. 10.1515/bmt-2020-0343
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- Publication type:
- Article