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

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Title: Integrative hybrid deep learning for enhanced breast cancer diagnosis: leveraging the Wisconsin Breast Cancer Database and the CBIS-DDSM dataset.
Authors: Murty, Patnala S. R. Chandra1 (AUTHOR), Anuradha, Chinta2 (AUTHOR), Naidu, P. Appala3 (AUTHOR), Mandru, Deenababu4 (AUTHOR), Ashok, Maram5 (AUTHOR), Atheeswaran, Athiraja6 (AUTHOR), Rajeswaran, Nagalingam7 (AUTHOR), Saravanan, V.8 (AUTHOR) saravanan@dadu.edu.et
Source: Scientific Reports. 11/1/2024, Vol. 14 Issue 1, p1-41. 41p.
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  Data: Integrative hybrid deep learning for enhanced breast cancer diagnosis: leveraging the Wisconsin Breast Cancer Database and the CBIS-DDSM dataset.
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/1/2024, Vol. 14 Issue 1, p1-41. 41p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=180627157
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        Value: 10.1038/s41598-024-74305-8
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