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Quality assurance for automatically generated contours with additional deep learning.
- Published in:
- Insights into Imaging, 2022, v. 13, n. 1, p. 1, doi. 10.1186/s13244-022-01276-7
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- Article
Comparison of automated segmentation techniques for magnetic resonance images of the prostate.
- Published in:
- BMC Medical Imaging, 2023, v. 23, n. 1, p. 1, doi. 10.1186/s12880-023-00974-y
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- Publication type:
- Article
The Impact of Segmentation Method and Target Lesion Selection on Radiomic Analysis of 18 F-FDG PET Images in Diffuse Large B-Cell Lymphoma.
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- Applied Sciences (2076-3417), 2022, v. 12, n. 19, p. 9678, doi. 10.3390/app12199678
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- Article
Association between Contrast-Enhanced Computed Tomography Radiomic Features, Genomic Alterations and Prognosis in Advanced Lung Adenocarcinoma Patients.
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- Cancers, 2023, v. 15, n. 18, p. 4553, doi. 10.3390/cancers15184553
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- Article
The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images.
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- Cancers, 2021, v. 13, n. 12, p. 3088, doi. 10.3390/cancers13123088
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- Publication type:
- Article
[<sup>18</sup>F]‐FDG PET radiomic model as prognostic biomarker in diffuse large B‐cell lymphoma.
- Published in:
- Hematological Oncology, 2023, v. 41, n. 4, p. 674, doi. 10.1002/hon.3171
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- Article