03872nam a22005895i 4500 978-3-031-69666-4 DE-He213 20251030113137.0 cr nn 008mamaa 241011s2024 sz | s |||| 0|eng d 9783031696664 978-3-031-69666-4 10.1007/978-3-031-69666-4 doi TK5101-5105.9 TJK bicssc TEC041000 bisacsh TJK thema Shah, Sejal. author. aut http://id.loc.gov/vocabulary/relators/aut 85892 Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer [electronic resource] / by Sejal Shah, Rohit M. Thanki, Anjali Diwan. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 86 p. 14 illus., 13 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Signals and Communication Technology, 1860-4870 An Introduction -- Types Diagnosis and Treatment of Cervical Cancer -- Artificial Intelligence and Its Roles in Early Detection of Cervical Cancer -- Early Screening and Detection of Cervical Cancer using AI. 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 comprehensive overview of cervical cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in cervical cells and tissue, enabling the detection of abnormal cells and precancerous changes that may indicate the presence of cervical cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for cervical cancer screening, including the analysis of Pap smear and liquid-based cytology images. This book is an essential read for healthcare professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare. Presents information regarding cervical cancer and AI-based screening methods for cervical cancer; Provides complete details regarding various types of cervical cancer and their characteristics; Includes details of artificial intelligence and its roles in early detection and diagnosis of cervical cancer. Telecommunication. Biomedical engineering. Machine learning. 55059 Medical informatics. 60693 Communications Engineering, Networks. Biomedical Engineering and Bioengineering. Machine Learning. 55059 Health Informatics. Thanki, Rohit M. author. aut http://id.loc.gov/vocabulary/relators/aut 67574 Diwan, Anjali. author. aut http://id.loc.gov/vocabulary/relators/aut 85893 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031696657 Printed edition: 9783031696671 Printed edition: 9783031696688 Signals and Communication Technology, 1860-4870 18936 https://doi.org/10.1007/978-3-031-69666-4 ZDB-2-ENG ZDB-2-SXE 64132 64132