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21 |
Endoscopic predictors of deep submucosal invasion in colorectal laterally spreading tumors
Enthalten in Endoscopy Bd. 48, 2016, Nr. 05: 456-464
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22 |
Investigation of invasion factors in deep-infiltrating endometriosis
Borrelli, Giuliano. - Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2015
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23 |
Desmoplastic response in biopsy specimens of early colorectal carcinoma is predictive of deep submucosal invasion
Enthalten in Diseases of the colon & rectum Bd. 41, Nr. 7, date:7.1998: 896-900
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24 |
A deep learning model with incorporation of microvascular invasion area as a factor in predicting prognosis of hepatocellular carcinoma after R0 hepatectomy
Enthalten in Hepatology international Bd. 16, 24.8.2022, Nr. 5, date:10.2022: 1188-1198
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25 |
Application value of Ki67 and serum CA125 in the deep myometrial invasion of endometrial adenocarcinoma
Enthalten in BMC cancer Bd. 23, 14.3.2023, Nr. 1, date:12.2023: 1-6
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26 |
Assessment of deep myometrial invasion of endometrial cancer on MRI: added value of second-opinion interpretations by radiologists subspecialized in gynaecologic oncology
Enthalten in European radiology Bd. 27, 21.9.2016, Nr. 5, date:5.2017: 1877-1882
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27 |
Cross-institutional evaluation of deep learning and radiomics models in predicting microvascular invasion in hepatocellular carcinoma: validity, robustness, and ultrasound modality efficacy comparison
Enthalten in Cancer imaging Bd. 24, 22.10.2024, Nr. 1, date:12.2024: 1-10
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28 |
Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma
Enthalten in World journal of surgical oncology Bd. 20, 8.6.2022, Nr. 1, date:12.2022: 1-13
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29 |
Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images
Enthalten in Insights into imaging Bd. 16, 18.5.2025, Nr. 1, date:12.2025: 1-12
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30 |
Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images
Enthalten in Hepatology international Bd. 16, 28.3.2022, Nr. 3, date:6.2022: 590-602
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