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010   $a3-031-69666-2
024 7 $a10.1007/978-3-031-69666-4
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035   $a(DE-He213)978-3-031-69666-4
035   $a(EXLCZ)9936328089600041
100   $a20241011d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial Intelligence for Early Detection and Diagnosis of Cervical Cancer /$fby Sejal Shah, Rohit M. Thanki, Anjali Diwan
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (96 pages)
225 1 $aSignals and Communication Technology,$x1860-4870
311 08$a3-031-69665-4 
327   $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.
330   $aThis book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can analyze medical images and patient data to enhance early detection and accurate diagnosis of cervical cancer. The book starts by providing a comprehensive overview of cervical cancer, its risk factors, and the importance of early detection. It then delves into the fundamental concepts of artificial intelligence and its application in healthcare. Readers will gain a deeper understanding of how AI algorithms can "see" patterns in cervical cells and tissue, enabling the detection of abnormal cells and precancerous changes that may indicate the presence of cervical cancer. Drawing on the latest research and real-world case studies, the book showcases the various AI techniques used for cervical cancer screening, including the analysis of Pap smear and liquid-based cytology images. This book is an essential read for healthcare professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare. Presents information regarding cervical cancer and AI-based screening methods for cervical cancer; Provides complete details regarding various types of cervical cancer and their characteristics; Includes details of artificial intelligence and its roles in early detection and diagnosis of cervical cancer.
410  0$aSignals and Communication Technology,$x1860-4870
606   $aTelecommunication
606   $aBiomedical engineering
606   $aMachine learning
606   $aMedical informatics
606   $aCommunications Engineering, Networks
606   $aBiomedical Engineering and Bioengineering
606   $aMachine Learning
606   $aHealth Informatics
615  0$aTelecommunication.
615  0$aBiomedical engineering.
615  0$aMachine learning.
615  0$aMedical informatics.
615 14$aCommunications Engineering, Networks.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aMachine Learning.
615 24$aHealth Informatics.
676   $a621.382
700   $aS?a?ha$b Sejala$01860229
701   $aThanki$b Rohit M$0864695
701   $aDiwan$b Anjali$01766725
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910896536303321
996   $aArtificial Intelligence for Early Detection and Diagnosis of Cervical Cancer$94464846
997   $aUNINA