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QDeepColonNet: a quantum-based deep learning network for colorectal cancer classification using attention-driven DenseNet and shuffled dynamic local feature extraction network.

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Title: QDeepColonNet: a quantum-based deep learning network for colorectal cancer classification using attention-driven DenseNet and shuffled dynamic local feature extraction network.
Authors: Ajay, Armaano1, armaano.ajay2021@vitstudent.ac.in, Karthik, R.2, r.karthik@vit.ac.in, Bisht, Akshaj Singh1, akshajsingh.bisht2021@vitstudent.ac.in, Singh, Abhay Karan3, abhaykaran.singh2021@vitstudent.ac.in
Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-33, 33p
Database: Applied Science & Technology Source
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  Data: QDeepColonNet: a quantum-based deep learning network for colorectal cancer classification using attention-driven DenseNet and shuffled dynamic local feature extraction network.
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  Data: <searchLink fieldCode="AU" term="%22Ajay%2C+Armaano%22">Ajay, Armaano</searchLink><relatesTo>1</relatesTo>, <i>armaano.ajay2021@vitstudent.ac.in</i><br /><searchLink fieldCode="AU" term="%22Karthik%2C+R%2E%22">Karthik, R.</searchLink><relatesTo>2</relatesTo>, <i>r.karthik@vit.ac.in</i><br /><searchLink fieldCode="AU" term="%22Bisht%2C+Akshaj+Singh%22">Bisht, Akshaj Singh</searchLink><relatesTo>1</relatesTo>, <i>akshajsingh.bisht2021@vitstudent.ac.in</i><br /><searchLink fieldCode="AU" term="%22Singh%2C+Abhay+Karan%22">Singh, Abhay Karan</searchLink><relatesTo>3</relatesTo>, <i>abhaykaran.singh2021@vitstudent.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Oct2025, Vol. 58 Issue 10, p1-33, 33p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186636784
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        Value: 10.1007/s10462-025-11295-7
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        Text: English
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      – TitleFull: QDeepColonNet: a quantum-based deep learning network for colorectal cancer classification using attention-driven DenseNet and shuffled dynamic local feature extraction network.
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              Text: Oct2025
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              Y: 2025
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