Artículos relacionados a Current Applications of Deep Learning in Cancer Diagnostics

Current Applications of Deep Learning in Cancer Diagnostics - Tapa blanda

 
9781032223193: Current Applications of Deep Learning in Cancer Diagnostics
Tapa blanda
ISBN 10: 1032223197 ISBN 13: 9781032223193
Editorial: CRC Press, 2024

Sinopsis

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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Acerca del autor

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.

De la contraportada

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.

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Editorial
CRC Press
Año de publicación
2024
Idioma
Inglés
ISBN 10 
1032223197
ISBN 13 
9781032223193
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
167
Editor
Chaki Jyotismita, Ucar Aysegul
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania