Development of intelligent suite for malaria pathogen detection in microscopy images Article Swipe
Anand Koirala
,
Meena Jha
,
Girija Chetty
,
Srinivas Bodapati
,
Animesh Mishra
,
Praveen K. Sahu
,
Sanjib Mohanty
,
Timir Kanta Padhan
,
Ajat Hukkoo
,
Jyoti Mattoo
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-75933-w
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-024-75933-w
The identification of malaria infection using microscope images of blood smears is considered as a 'gold standard'. The diagnosis of malaria needs expert microscopists which are scarce in remote areas where malaria is endemic. Therefore, it is desirable to automate the repetitive task of pathogen detection in the blood samples received as microscope images. This study provides an easy to use and deploy method for implementing a malaria pathogen detection software- the Intelligent Suite. The Intelligent Suite features a graphical user interface (GUI) implemented using 'cvui' library to interact with the OpenVINO's inference engine for model optimisation and deployment across several inference devices. The intelligent Suite uses a custom YOLO-mp-3l model trained on Darknet framework for detection of malaria pathogen in thick smear microscope images. Moreover, the Intelligent Suite provides user interface for inference device/mode selection, alter model parameters, and generate detection reports along with the model performance metrics. The Intelligent Suite was executed on a CPU computer with model inference running on a plug-and-play Neural Compute Stick (NCS2) and performance reported.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-75933-w
- OA Status
- gold
- Cited By
- 1
- References
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403338128
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403338128Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-024-75933-wDigital Object Identifier
- Title
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Development of intelligent suite for malaria pathogen detection in microscopy imagesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-11Full publication date if available
- Authors
-
Anand Koirala, Meena Jha, Girija Chetty, Srinivas Bodapati, Animesh Mishra, Praveen K. Sahu, Sanjib Mohanty, Timir Kanta Padhan, Ajat Hukkoo, Jyoti MattooList of authors in order
- Landing page
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https://doi.org/10.1038/s41598-024-75933-wPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1038/s41598-024-75933-wDirect OA link when available
- Concepts
-
Malaria, Suite, Computer science, Microscopy, Pathogen, Plasmodium falciparum, Data science, Virology, Artificial intelligence, Biology, Medicine, Pathology, Immunology, Geography, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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5Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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