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
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Diagnostics 12.8 (2022): 1860.
- Event
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Veröffentlichung
- (where)
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Erlangen
- (who)
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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (when)
-
2022
- Creator
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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
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:28 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- 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)
Time of origin
- 2022
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Primary parotid tuberculosis mimicking parotid neoplasm: a case report
Location histogram privacy by Sensitive Location Hiding and Target Histogram Avoidance/Resemblance
Minority Costume Image Retrieval by Fusion of Color Histogram and Edge Orientation Histogram
Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer
Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions
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Giant cervico-parotid lipoma
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