Performance of deep learning models for response evaluation on whole-body bone scans in prostate cancer.
- Published in:
- Annals of Nuclear Medicine, 2023, v. 37, n. 12, p. 685, doi. 10.1007/s12149-023-01872-7
- By:
- Publication type:
- Article
Works matching IS 09147187 AND DT 2023 AND VI 37 AND IP 12
Results: 5
1
2
<sup>18</sup>F-FES and <sup>18</sup>F-FDG PET/CT imaging as a predictive biomarkers for metastatic breast cancer patients undergoing cyclin-dependent 4/6 kinase inhibitors with endocrine treatment.
- Published in:
- Annals of Nuclear Medicine, 2023, v. 37, n. 12, p. 675, doi. 10.1007/s12149-023-01871-8
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- Publication type:
- Article
3
Impact of irregular waveforms on data-driven respiratory gated PET/CT images processed using MotionFree algorithm.
- Published in:
- Annals of Nuclear Medicine, 2023, v. 37, n. 12, p. 665, doi. 10.1007/s12149-023-01870-9
- By:
- Publication type:
- Article
4
Association of mismatch repair deficiency in endometrial cancer with <sup>18</sup>F-FDG PET/CT and clinicopathological features and their prognostic value.
- Published in:
- Annals of Nuclear Medicine, 2023, v. 37, n. 12, p. 655, doi. 10.1007/s12149-023-01869-2
- By:
- Publication type:
- Article
5
The OCDA-Net: a 3D convolutional neural network-based system for classification and staging of ovarian cancer patients using [<sup>18</sup>F]FDG PET/CT examinations.
- Published in:
- Annals of Nuclear Medicine, 2023, v. 37, n. 12, p. 645, doi. 10.1007/s12149-023-01867-4
- By:
- Publication type:
- Article