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020 _a9783031696664
_9978-3-031-69666-4
024 7 _a10.1007/978-3-031-69666-4
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
100 1 _aShah, Sejal.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985892
245 1 0 _aArtificial Intelligence for Early Detection and Diagnosis of Cervical Cancer
_h[electronic resource] /
_cby Sejal Shah, Rohit M. Thanki, Anjali Diwan.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXV, 86 p. 14 illus., 13 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4870
505 0 _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.
520 _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.
650 0 _aTelecommunication.
650 0 _aBiomedical engineering.
650 0 _aMachine learning.
_955059
650 0 _aMedical informatics.
_960693
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aBiomedical Engineering and Bioengineering.
650 2 4 _aMachine Learning.
_955059
650 2 4 _aHealth Informatics.
700 1 _aThanki, Rohit M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_967574
700 1 _aDiwan, Anjali.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985893
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031696657
776 0 8 _iPrinted edition:
_z9783031696671
776 0 8 _iPrinted edition:
_z9783031696688
830 0 _aSignals and Communication Technology,
_x1860-4870
_918936
856 4 0 _uhttps://doi.org/10.1007/978-3-031-69666-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c64132
_d64132