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Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features.

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Title: Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features.
Authors: Del Corso, Giulio1, giulio.delcorso@isti.cnr.it, Germanese, Danila1, Caudai, Claudia1, Anastasi, Giada2,3, Belli, Paolo4,5, Formica, Alessia2, Nicolucci, Alberto6, Palma, Simone4, Pascali, Maria Antonietta1, Pieroni, Stefania2, Trombadori, Charlotte4, Colantonio, Sara1, Franchini, Michela2, michela.franchini@cnr.it, Molinaro, Sabrina2
Source: Journal of Digital Imaging; Aug2024, Vol. 37 Issue 4, p1642-1651, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 179554150
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features.
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      – Type: doi
        Value: 10.1007/s10278-024-01064-3
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1642
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      – TitleFull: Adaptive Machine Learning Approach for Importance Evaluation of Multimodal Breast Cancer Radiomic Features.
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            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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