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TumorSageNet CNN hybrid architecture enables accurate detection of mango leaf pathologies.

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Title: TumorSageNet CNN hybrid architecture enables accurate detection of mango leaf pathologies.
Authors: Ghosh H; School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India., Rahat IS; School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India., Hossain MZ; Grand Canyon University, Phoenix, USA., Emon MMR; Department of Computer Science and Engineering, American International University, Dhaka, Bangladesh., Kant S; Department of Management, College of Business and Economics, Bule Hora University, Bule Hora, Ethiopia. skant317@gmail.com., Maniruzzaman M; Department of Electrical and Computer Engineering, School of Engineering, San Francisco Bay University, Fremont, CA, 94539, USA.
Source: Scientific reports [Sci Rep] 2026 Feb 25; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 25.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: TumorSageNet CNN hybrid architecture enables accurate detection of mango leaf pathologies.
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  Data: <searchLink fieldCode="AU" term="%22Ghosh+H%22">Ghosh H</searchLink>; School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Rahat+IS%22">Rahat IS</searchLink>; School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Hossain+MZ%22">Hossain MZ</searchLink>; Grand Canyon University, Phoenix, USA.<br /><searchLink fieldCode="AU" term="%22Emon+MMR%22">Emon MMR</searchLink>; Department of Computer Science and Engineering, American International University, Dhaka, Bangladesh.<br /><searchLink fieldCode="AU" term="%22Kant+S%22">Kant S</searchLink>; Department of Management, College of Business and Economics, Bule Hora University, Bule Hora, Ethiopia. skant317@gmail.com.<br /><searchLink fieldCode="AU" term="%22Maniruzzaman+M%22">Maniruzzaman M</searchLink>; Department of Electrical and Computer Engineering, School of Engineering, San Francisco Bay University, Fremont, CA, 94539, USA.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 Feb 25; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Feb 25.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
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        Value: 10.1038/s41598-026-40944-2
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        Text: English
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              Text: 2026 Feb 25
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