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A DEEP LEARNING MODEL FOR AUTOMATED DETECTION AND COUNTING OF TUNNELING NANOTUBES AND CANCER CELLS IN MICROSCOPY IMAGES

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dc.contributor.authorCeran, Yasin
dc.contributor.authorErguder, Hamza
dc.contributor.authorLadner, Katherine
dc.contributor.authorKorenfeld, Sophie
dc.contributor.authorDeniz, Karina
dc.contributor.authorPadmanabhan, Sanyukta
dc.contributor.authorBaday, Murat
dc.contributor.authorPengo, Thomas
dc.contributor.authorLou, Emil
dc.contributor.authorPatel, Chirag
dc.date.accessioned2026-06-27T14:42:57Z
dc.date.issued2022
dc.identifier.eissn1523-5866
dc.identifier.endpage13
dc.identifier.issn1522-8517
dc.identifier.startpage13
dc.identifier.urihttps://hdl.handle.net/20.500.14981/63861
dc.identifier.volume24
dc.identifier.wos000888571000054
dc.language.isoeng
dc.publisherOXFORD UNIV PRESS INC
dc.relation.conference27th Annual Scientific Meeting and Education Day of the Society-for-Neuro-Oncology (SNO)
dc.relation.ispartofNEURO-ONCOLOGY
dc.subjectOncology
dc.subjectNeurosciences & Neurology
dc.titleA DEEP LEARNING MODEL FOR AUTOMATED DETECTION AND COUNTING OF TUNNELING NANOTUBES AND CANCER CELLS IN MICROSCOPY IMAGES
dc.typeMeeting Abstract
dspace.entity.typePublication
local.import.sourceWOS

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