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Integrative hybrid deep learning for enhanced breast cancer diagnosis: leveraging the Wisconsin Breast Cancer Database and the CBIS-DDSM dataset

Abstract The objective of this investigation was to improve the diagnosis of breast cancer by combining two significant datasets: the Wisconsin Breast Cancer Database and the DDSM Curated Breast Imaging Subset (CBIS-DDSM). The Wisconsin Breast Cancer Database provides a detailed examination of the c...

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Principais autores: Patnala S. R. Chandra Murty, Chinta Anuradha, P. Appala Naidu, Deenababu Mandru, Maram Ashok, Athiraja Atheeswaran, Nagalingam Rajeswaran, V. Saravanan
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2024-11-01
Serier:Scientific Reports
Fag:
Wisconsin Breast Cancer Database
CBIS-DDSM
CNN
AUC-ROC
Online adgang:https://doi.org/10.1038/s41598-024-74305-8
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