Apparent Diffusion Coefficient (ADC) Histogram Analysis in Parotid Gland Tumors: Evaluating a Novel Approach for Differentiation between Benign and Malignant Parotid Lesions Based on Full Histogram Distributions
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Diagnostics 12.8 (2022): 1860.
- Ereignis
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Veröffentlichung
- (wo)
-
Erlangen
- (wer)
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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (wann)
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2022
- Urheber
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Hepp, Tobias
Wuest, Wolfgang
Heiss, Rafael
May, Matthias Stefan
Kopp, Markus
Wetzl, Matthias
Treutlein, Christoph
Uder, Michael
Wiesmueller, Marco
- DOI
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10.3390/diagnostics12081860
- URN
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urn:nbn:de:bvb:29-opus4-204033
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
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Beteiligte
- Hepp, Tobias
- Wuest, Wolfgang
- Heiss, Rafael
- May, Matthias Stefan
- Kopp, Markus
- Wetzl, Matthias
- Treutlein, Christoph
- Uder, Michael
- Wiesmueller, Marco
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Entstanden
- 2022
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Location histogram privacy by Sensitive Location Hiding and Target Histogram Avoidance/Resemblance
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Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer
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Parotid sialometry: A standard technique in the diagnosis of parotid sialadenosis
Giant cervico-parotid lipoma
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