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31 |
Deep Learning Predicts Lymphovascular Invasion Status in Muscle Invasive Bladder Cancer Histopathology
Enthalten in Annals of surgical oncology Bd. 32, 29.10.2024, Nr. 1, date:1.2025: 598-608
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32 |
Deep learning system for true- and pseudo-invasion in colorectal polyps
Enthalten in Scientific reports Bd. 14, 3.1.2024, Nr. 1, date:12.2024: 1-12
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33 |
Detection of perineural invasion in prostate needle biopsies with deep neural networks
Enthalten in Virchows Archiv Bd. 481, 21.4.2022, Nr. 1, date:7.2022: 73-82
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34 |
Gd-EOB-DTPA-enhanced MRI radiomics and deep learning models to predict microvascular invasion in hepatocellular carcinoma: a multicenter study
Enthalten in BMC medical imaging Bd. 25, 31.3.2025, Nr. 1, date:12.2025: 1-13
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35 |
Interpretable and generalizable deep learning model for preoperative assessment of microvascular invasion and outcome in hepatocellular carcinoma based on MRI: a multicenter study
Enthalten in Insights into imaging Bd. 16, 3.7.2025, Nr. 1, date:12.2025: 1-13
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36 |
Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics Model for Preoperative Predicting the Deep Stromal Invasion in Patients with Early Cervical Cancer
Enthalten in Journal of imaging informatics in medicine Bd. 37, 10.1.2024, Nr. 1, date:2.2024: 230-246
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37 |
Mining of Deep Nitrogen Facilitates Phragmites australis Invasion in Coastal Saltmarshes
Enthalten in Estuaries and coasts Bd. 46, 1.4.2023, Nr. 4, date:6.2023: 998-1008
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38 |
MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer
Enthalten in Insights into imaging Bd. 13, 8.1.2022, Nr. 1, date:12.2022: 1-12
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39 |
Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals
Enthalten in Cancer imaging Bd. 21, 9.10.2021, Nr. 1, date:12.2021: 1-16
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40 |
Predictive value of MRI-based deep learning model for lymphovascular invasion status in node-negative invasive breast cancer
Enthalten in Scientific reports Bd. 14, 13.7.2024, Nr. 1, date:12.2024: 1-12
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Administration
