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Convolutional slime mold deep learning model for diagnosis of PD.

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Title: Convolutional slime mold deep learning model for diagnosis of PD.
Authors: Akram SW; Department of CSE (AIML), Vasireddy Venkatadri International Technological University, Nambur, Andhra Pradesh, India., Siva Kumar AP; Department of Computer Science and Engineering, JNTUA College of Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2025 Aug 20, pp. 1-18. Date of Electronic Publication: 2025 Aug 20.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Akram+SW%22">Akram SW</searchLink>; Department of CSE (AIML), Vasireddy Venkatadri International Technological University, Nambur, Andhra Pradesh, India.<br /><searchLink fieldCode="AU" term="%22Siva+Kumar+AP%22">Siva Kumar AP</searchLink>; Department of Computer Science and Engineering, JNTUA College of Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9802899 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-8259 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210255842%22">10255842 </searchLink><i>NLM ISO Abbreviation: </i>Comput Methods Biomech Biomed Engin <i>Subsets: </i>MEDLINE
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        Value: 10.1080/10255842.2025.2542942
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      – TitleFull: Convolutional slime mold deep learning model for diagnosis of PD.
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            NameFull: Akram SW
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              Text: 2025 Aug 20
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