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Ergebnis der Suche nach: tit all "Invasion in Deep"
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1 - 10 von 18

	1	Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning Enthalten in Journal of cancer research and clinical oncology 27.8.2020: 1-13
	2	Investigation of invasion factors in deep-infiltrating endometriosis Borrelli, Giuliano. - Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2015
	3	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
	4	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
	5	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
	6	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
	7	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
	8	Deep learning model using planar whole-body bone scintigraphy for diagnosis of skull base invasion in patients with nasopharyngeal carcinoma Enthalten in Journal of cancer research and clinical oncology Bd. 150, 9.10.2024, Nr. 10, date:10.2024: 1-10
	9	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
	10	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