Locally-run interpret-able breast cancer diagnosis from histology images

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dc.contributor.authorFadugba, Jeremiah O.
dc.contributor.authorSanni, Oluwatoyin Y.
dc.contributor.authorYekinni, Moshood O.
dc.contributor.otherAaron, Joseph T.
dc.contributor.otherFernandez-Reyes, Delmiro
dc.date.accessioned2021-05-18T12:35:38Z
dc.date.available2021-05-18T12:35:38Z
dc.date.issued2021-03-31
dc.description.abstractThe study furthers artificial intelligence/machine Deep Learning in medical diagnostics, and works to explain decisions behind model predictions and to make the algorithm transparent. It adds another level of visual explanation for the algorithm’s decision making process. However, to improve the algorithm’s predicting power, careful considerations need to be paid to how histology images are pre-processed. To solve issues of privacy, the study uses solutions that allow such models to run locally. Convolutional Neural Networks (CNNs) is a class of deep learning algorithm trained on large volumes of labelled radiological images.en
dc.description.sponsorshipKnowledgeforall Foundation
dc.description.sponsorshipDeep Indaba
dc.description.sponsorshipArtificial Intelligence for Development (AI4D)
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10625/60121
dc.language.isoen
dc.subjectARTIFICIAL INTELLIGENCEen
dc.subjectAI4Den
dc.subjectDIAGNOSISen
dc.subjectMEDICAL IMAGINGen
dc.subjectMACHINE LEARNINGen
dc.subjectRADIOLOGYen
dc.subjectBREAST CANCERen
dc.subjectHISTOLOGYen
dc.subjectALGORITHMen
dc.subjectSOUTH OF SAHARAen
dc.titleLocally-run interpret-able breast cancer diagnosis from histology imagesen
dc.typeConference Paperen
idrc.copyright.holder© 2021, JEREMIAH O. FADUGBA
idrc.copyright.oapermissionsourceCC BY 4.0en
idrc.dspace.accessOpen Accessen
idrc.project.componentnumber109187002
idrc.project.number109187
idrc.project.titleLaying the foundations for artificial intelligence for development (AI4D) in Africaen
idrc.rims.adhocgroupIDRC SUPPORTEDen

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Locally run Web-based App for Interpretable Breast Cancer Diagnosis from Histology Images
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