Current Applications of Deep Learning in Cancer Diagnostics

dc.contributor.authorChaki, Jyotismita
dc.contributor.authorUcar, Aysegul
dc.date.accessioned2026-08-12T16:16:08Z
dc.date.issued2023
dc.departmentFırat Üniversitesi
dc.description.abstractThis book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques, which are essential to cancer diagnostics. Topics include introduction to current applications of deep learning in cancer diagnostics, pre-processing of cancer data using deep learning, review of deep learning techniques in oncology, overview of advanced deep learning techniques in cancer diagnostics, prediction of cancer susceptibility using deep learning techniques, prediction of cancer reoccurrence using deep learning techniques, deep learning techniques to predict the grading of human cancer, different human cancer detection using deep learning techniques, prediction of cancer survival using deep learning techniques, complexity in the use of deep learning in cancer diagnostics, and challenges and future scopes of deep learning techniques in oncology. © 2023 selection and editorial matter, Jyotismita Chaki and Aysegul Ucar; individual chapters, the contributors.
dc.identifier.doi10.1201/9781003277002
dc.identifier.endpage168
dc.identifier.isbn978-100083615-8
dc.identifier.isbn978-103223385-7
dc.identifier.scopus2-s2.0-85148253115
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1201/9781003277002
dc.identifier.urihttps://hdl.handle.net/11508/44099
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherCRC Press
dc.relation.ispartofCurrent Applications of Deep Learning in Cancer Diagnostics
dc.relation.publicationcategoryKitap - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260511
dc.titleCurrent Applications of Deep Learning in Cancer Diagnostics
dc.typeBook

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