Found: 13
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Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.
- Published in:
- European Radiology, 2023, v. 33, n. 7, p. 4589, doi. 10.1007/s00330-023-09474-7
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- Publication type:
- Article
Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.
- Published in:
- European Radiology, 2022, v. 32, n. 7, p. 4868, doi. 10.1007/s00330-022-08558-0
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- Publication type:
- Article
Cases of Echinococcus granulosus Sensu Stricto Isolated from Polish Patients: Imported or Indigenous?
- Published in:
- 2015
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- Publication type:
- journal article
Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification.
- Published in:
- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00285-x
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- Publication type:
- Article
Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification.
- Published in:
- European Radiology Experimental, 2022, v. 6, n. 1, p. 1, doi. 10.1186/s41747-022-00285-x
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- Publication type:
- Article
Assessment of the systematic errors caused by diffusion gradient inhomogeneity in DTI‐computer simulations.
- Published in:
- NMR in Biomedicine, 2019, v. 32, n. 11, p. N.PAG, doi. 10.1002/nbm.4130
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- Publication type:
- Article
Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks.
- Published in:
- Insights into Imaging, 2023, v. 14, n. 1, p. 1, doi. 10.1186/s13244-023-01396-8
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- Publication type:
- Article
Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake.
- Published in:
- Bioengineering (Basel), 2024, v. 11, n. 6, p. 556, doi. 10.3390/bioengineering11060556
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- Publication type:
- Article
BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network.
- Published in:
- Diagnostics (2075-4418), 2022, v. 12, n. 7, p. N.PAG, doi. 10.3390/diagnostics12071564
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- Publication type:
- Article
Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network.
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- Diagnostics (2075-4418), 2022, v. 12, n. 6, p. 1347, doi. 10.3390/diagnostics12061347
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- Publication type:
- Article
Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?
- Published in:
- Diagnostics (2075-4418), 2022, v. 12, n. 1, p. 181, doi. 10.3390/diagnostics12010181
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- Publication type:
- Article
Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI.
- Published in:
- Insights into Imaging, 2023, v. 14, n. 1, p. 1, doi. 10.1186/s13244-023-01531-5
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- Publication type:
- Article
Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network.
- Published in:
- Journal of Imaging, 2024, v. 10, n. 6, p. 147, doi. 10.3390/jimaging10060147
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- Publication type:
- Article