Non-invasive and non-contact automatic jaundice detection of infants based on random forest Article Swipe
Fatema-Tuz-Zohra Khanam
,
Ali Al‐Naji
,
Asanka G. Perera
,
Danyi Wang
,
Javaan Chahl
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1080/21681163.2023.2244601
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1080/21681163.2023.2244601
Jaundice is a common phenomenon in neonates and a significant cause of morbidity and mortality. Early detection of jaundice is still a significant challenge. Moreover, existing invasive techniques are stressful, and painful for the newborn, and non-invasive devices are expensive. Therefore, we investigate the characteristics of a non-invasive and non-contact neonatal jaundice detection system based on skin colour analysis and machine learning using a graphical user interface (GUI). First, we automatically selected a region of interest (ROI) from the image of an infant captured by a digital camera. Then, the skin colour of the selected ROI was analysed in both RGB and YCbCr colour spaces. Finally, a machine learning algorithm based on random forest (RF) was incorporated to classify jaundice or normal and determine whether the neonate requires treatment or not. The experimental result demonstrates that the proposed jaundice detection system has the potential as a non-invasive technique in clinical application.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/21681163.2023.2244601
- https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2244601?needAccess=true&role=button
- OA Status
- hybrid
- Cited By
- 5
- References
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- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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Non-invasive and non-contact automatic jaundice detection of infants based on random forestWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-08-20Full publication date if available
- Authors
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Fatema-Tuz-Zohra Khanam, Ali Al‐Naji, Asanka G. Perera, Danyi Wang, Javaan ChahlList of authors in order
- Landing page
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https://doi.org/10.1080/21681163.2023.2244601Publisher landing page
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https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2244601?needAccess=true&role=buttonDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2244601?needAccess=true&role=buttonDirect OA link when available
- Concepts
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Jaundice, YCbCr, Artificial intelligence, Random forest, RGB color model, Computer science, Computer vision, Image processing, Medicine, Image (mathematics), Surgery, Color imageTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2025: 3, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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