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A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHis Images: In the Quest for Precision.

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Title: A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHis Images: In the Quest for Precision.
Authors: Manivannan, Gowri Shankar1, mshankar065@gmail.com, Shanmugam, Karthikeyan2, Rajaguru, Harikumar2, Talawar, Satish V.1, Siddaiah, Rajanna1
Source: International Journal of Computational Intelligence Systems; 6/2/2025, Vol. 18 Issue 1, p1-33, 33p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computational+Intelligence+Systems%22">International Journal of Computational Intelligence Systems</searchLink>; 6/2/2025, Vol. 18 Issue 1, p1-33, 33p
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        Value: 10.1007/s44196-025-00877-6
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        Text: English
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      – TitleFull: A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHis Images: In the Quest for Precision.
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              Text: 6/2/2025
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