Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer

This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a comprehensiv...

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Bibliographic Details

Main Authors:	Shah, Sejal (Author), Thanki, Rohit M. (Author), Diwan, Anjali (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Signals and Communication Technology,
Subjects:	Telecommunication. Biomedical engineering. Machine learning. Medical informatics. Communications Engineering, Networks. Biomedical Engineering and Bioengineering. Machine Learning. Health Informatics.
Online Access:	https://doi.org/10.1007/978-3-031-69666-4
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