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Deep extracted features to support Content-Based Image Retrieval systems in the diagnosis of Covid-19 and Interstitial diseases
International Journal of Computer Assisted Radiology and Surgery ; 17(SUPPL 1):S13-S14, 2022.
Article in English | EMBASE | ID: covidwho-1926067

Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: International Journal of Computer Assisted Radiology and Surgery Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: International Journal of Computer Assisted Radiology and Surgery Year: 2022 Document Type: Article