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Ergebnis der Suche nach: "Machine Learning"
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34721 - 34730 von 37180

	34721	Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment Enthalten in La Radiologia medica Bd. 128, 11.9.2023, Nr. 11, date:11.2023: 1310-1332
	34722	Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR Enthalten in Journal of translational medicine Bd. 19, 24.10.2021, Nr. 1, date:12.2021: 1-10
	34723	Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas Enthalten in Journal of cancer research and clinical oncology Bd. 145, 4.2.2019, Nr. 3, date:3.2019: 543-550
	34724	Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study Enthalten in Abdominal radiology Bd. 47, 10.9.2022, Nr. 11, date:11.2022: 3806-3816
	34725	Radiomics-based machine learning model for diagnosing internal abdominal hernias: a retrospective study Enthalten in Scientific reports Bd. 15, 22.5.2025, Nr. 1, date:12.2025: 1-9
	34726	Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest Enthalten in Scientific reports Bd. 12, 14.6.2022, Nr. 1, date:12.2022: 1-13
	34727	Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine Enthalten in European Association for Predictive, Preventive and Personalised Medicine: The EPMA journal Bd. 13, 12.11.2022, Nr. 4, date:12.2022: 633-647
	34728	Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques Enthalten in Cancer imaging Bd. 20, 5.8.2020, Nr. 1, date:12.2020: 1-13
	34729	Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a machine learning, cross-sectional, bicentric study Enthalten in Journal of cardiothoracic surgery Bd. 20, 11.2.2025, Nr. 1, date:12.2025: 1-9
	34730	Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules Enthalten in European radiology Bd. 30, 23.8.2019, Nr. 1, date:1.2020: 558-570

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