Artificial intelligence algorithms for recurrence risk score prediction in early-stage breast cancer: A multicenter study of 437 cases

Sadeleştirilmiş öğe sayfası
dc.contributor.authorBayram, Ertugrul
dc.contributor.authorBasaran, Gul
dc.contributor.authorGokmen, Erhan
dc.contributor.authorMandel, Nil Molinas
dc.contributor.authorOyan, Basak
dc.contributor.authorUskent, Necdet
dc.contributor.authorKaragoz, Bulent
dc.contributor.authorYildirim, Yesim
dc.contributor.authorKaraaslan, Sinan
dc.contributor.authorGuler, Emine Nilufer
dc.contributor.authorEralp, Yesim
dc.contributor.authorEr, Ozlem
dc.contributor.authorKaraoglu, Aziz
dc.contributor.authorKomurcu, Seref
dc.contributor.authorMete, Burak
dc.contributor.authorGemci, Fahriye
dc.contributor.authorIbrikci, Turgay
dc.contributor.authorPaydas, Semra
dc.date.accessioned2025-10-16T15:13:18Z
dc.date.issued2024
dc.description.abstractSpecial Clinical Science Symposia, ELECTR NETWORK, MAY 29-29, 2024
dc.identifier.otherWOS:001275557400048
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/5758
dc.publisherLIPPINCOTT WILLIAMS \& WILKINS
dc.sourceJOURNAL OF CLINICAL ONCOLOGY
dc.titleArtificial intelligence algorithms for recurrence risk score prediction in early-stage breast cancer: A multicenter study of 437 cases
dc.typeMeeting Abstract

Dosyalar

Koleksiyonlar

WOS