Optical imaging technologies for in vivo cancer detection in low-resource settings

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dc.citation.articleNumber100495
dc.citation.journalTitleCurrent Opinion in Biomedical Engineering
dc.citation.volumeNumber28
dc.contributor.authorHou, Huayu
dc.contributor.authorMitbander, Ruchika
dc.contributor.authorTang, Yubo
dc.contributor.authorAzimuddin, Ahad
dc.contributor.authorCarns, Jennifer
dc.contributor.authorSchwarz, Richard A.
dc.contributor.authorRichards-Kortum, Rebecca R.
dc.date.accessioned2024-05-08T18:56:09Z
dc.date.available2024-05-08T18:56:09Z
dc.date.issued2023
dc.description.abstractCancer continues to affect underserved populations disproportionately. Novel optical imaging technologies, which can provide rapid, non-invasive, and accurate cancer detection at the point of care, have great potential to improve global cancer care. This article reviews the recent technical innovations and clinical translation of low-cost optical imaging technologies, highlighting the advances in both hardware and software, especially the integration of artificial intelligence, to improve in vivo cancer detection in low-resource settings. Additionally, this article provides an overview of existing challenges and future perspectives of adapting optical imaging technologies into clinical practice, which can potentially contribute to novel insights and programs that effectively improve cancer detection in low-resource settings.
dc.identifier.citationHou, H., Mitbander, R., Tang, Y., Azimuddin, A., Carns, J., Schwarz, R. A., & Richards-Kortum, R. R. (2023). Optical imaging technologies for in vivo cancer detection in low-resource settings. Current Opinion in Biomedical Engineering, 28, 100495. https://doi.org/10.1016/j.cobme.2023.100495
dc.identifier.digital1-s20-S246845112300051X-main
dc.identifier.doihttps://doi.org/10.1016/j.cobme.2023.100495
dc.identifier.urihttps://hdl.handle.net/1911/115658
dc.language.isoeng
dc.publisherElsevier
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license. Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleOptical imaging technologies for in vivo cancer detection in low-resource settings
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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