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B01=Aysegul Ucar
B01=Jyotismita Chaki
Category1=Non-Fiction
Category=MMP
Category=UMK
Category=UNC
Category=UNF
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Category=UYA
Category=UYD
Category=UYQM
Category=UYQN
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COP=United Kingdom
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Current Applications of Deep Learning in Cancer Diagnostics

English

This 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.

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Current price €53.19
Original price €55.99
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Age Group_Uncategorizedautomatic-updateB01=Aysegul UcarB01=Jyotismita ChakiCategory1=Non-FictionCategory=MMPCategory=UMKCategory=UNCCategory=UNFCategory=UYCategory=UYACategory=UYDCategory=UYQMCategory=UYQNCategory=UYTCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 09 Oct 2024

Product Details
  • Weight: 350g
  • Dimensions: 156 x 234mm
  • Publication Date: 09 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032223193

About

Jyotismita Chaki PhD is an Associate Professor at School of Computer Science and Engineering Vellore Institute of Technology Vellore India.Aysegul Ucar PhD is a Professor in Department of Mechatronics Engineering Firat University Turkey.

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