03536nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001800153072001600171072002300187072001500210100007400225245015300299250001800452264006900470300006300539336002600602337002600628338003600654347002400690490005300714505021300767520139600980650002302376650002802399650002202427650002502449650004202474650004702516650002202563650002402585700007802609700007602687710003402763773002602797776003602823776003602859776003602895830005302931856004602984978-3-031-69666-4DE-He21320251030113137.0cr nn 008mamaa241011s2024    sz |    s    |||| 0|eng d  a97830316966647 a10.1007/978-3-031-69666-42doi 4aTK5101-5105.9 7aTJK2bicssc 7aTEC0410002bisacsh 7aTJK2thema1 aShah, Sejal.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aArtificial Intelligence for Early Detection and Diagnosis of Cervical Cancerh[electronic resource] /cby Sejal Shah, Rohit M. Thanki, Anjali Diwan.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXV, 86 p. 14 illus., 13 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSignals and Communication Technology,x1860-48700 aAn 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.  aThis 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. 0aTelecommunication. 0aBiomedical engineering. 0aMachine learning. 0aMedical informatics.14aCommunications Engineering, Networks.24aBiomedical Engineering and Bioengineering.24aMachine Learning.24aHealth Informatics.1 aThanki, Rohit M.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aDiwan, Anjali.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303169665708iPrinted edition:z978303169667108iPrinted edition:z9783031696688 0aSignals and Communication Technology,x1860-487040uhttps://doi.org/10.1007/978-3-031-69666-4