Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model

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dc.contributor.authorVeerayuth Kittichai
dc.contributor.authorMorakot Kaewthamasorn
dc.contributor.authorSuchansa Thanee
dc.contributor.authorThanyathep Sasisaowapak
dc.contributor.authorKaung Myat Naing
dc.contributor.authorRangsan Jomtarak
dc.contributor.authorTeerawat Tongloy
dc.contributor.authorSanthad Chuwongin
dc.contributor.authorSiridech Boonsang
dc.date.accessioned2025-07-21T06:10:10Z
dc.date.issued2023-10-27
dc.identifier.doi10.3791/65557
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/12959
dc.subjectKinetoplast
dc.subjectIdentification
dc.subject.classificationDigital Imaging for Blood Diseases
dc.titleSuperior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model
dc.typeArticle

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