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Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides.
- Published in:
- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-018-37638-9
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- Publication type:
- Article
Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.
- Published in:
- 2021
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- Publication type:
- journal article
Detection of Ki67 Hot-Spots of Invasive Breast Cancer Based on Convolutional Neural Networks Applied to Mutual Information of H&E and Ki67 Whole Slide Images †.
- Published in:
- Applied Sciences (2076-3417), 2020, v. 10, n. 21, p. 7761, doi. 10.3390/app10217761
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- Publication type:
- Article
Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas.
- Published in:
- Analytical Cellular Pathology: Cellular Oncology, 2015, v. 2015, p. 1, doi. 10.1155/2015/498746
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- Publication type:
- Article
Radiation dose reduction of 50% in dynamic myocardial CT perfusion with skipped beat acquisition: a retrospective study.
- Published in:
- Acta Radiologica, 2024, v. 65, n. 7, p. 724, doi. 10.1177/02841851241240446
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- Publication type:
- Article
Multireader image quality evaluation of dynamic myocardial computed tomography perfusion imaging with a novel four-dimensional noise reduction filter.
- Published in:
- Acta Radiologica, 2023, v. 64, n. 3, p. 999, doi. 10.1177/02841851221108804
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- Publication type:
- Article
Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer.
- Published in:
- Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-71420-0
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- Publication type:
- Article
Localization of spleen and kidney organs from CT scans based on classification of slices in rotational views.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-32741-y
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- Publication type:
- Article
Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection.
- Published in:
- Diagnostic Pathology, 2016, v. 11, p. 1, doi. 10.1186/s13000-016-0546-7
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- Publication type:
- Article