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A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection.

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Title: A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection.
Authors: Chaudhry, Hafiza Ayesha Hoor1, hafizaayeshahoor.chaudhry@unito.it, Farid, Muhammad Shahid2, Fiandrotti, Attilio1, Grangetto, Marco1
Source: Neural Computing & Applications; Nov2024, Vol. 36 Issue 31, p19795-19805, 11p
Database: Applied Science & Technology Source
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      – Type: doi
        Value: 10.1007/s00521-024-10219-w
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 19795
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      – TitleFull: A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection.
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            NameFull: Chaudhry, Hafiza Ayesha Hoor
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            NameFull: Farid, Muhammad Shahid
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              Text: Nov2024
              Type: published
              Y: 2024
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              Value: 36
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