Current Applications of Deep Learning in Cancer Diagnostics - Couverture rigide

Couverture rigide

ISBN 10 : 1032233850 ISBN 13 : 9781032233857

Editeur : CRC Press, 2023

Synopsis

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.

A propos du livre

À propos de l'auteur

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.

À propos de la quatrième de couverture

This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 1032233850
• ISBN 13: 9781032233857
• Reliure: Relié
• Nombre de pages: 200
• Éditeur: Chaki Jyotismita, Ucar Aysegul
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne