國立虎尾科技大學 |

Artificial intelligence for early detection and diagnosis of cervical cancer

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence for early detection and diagnosis of cervical cancer/ by Sejal Shah, Rohit M. Thanki, Anjali Diwan.
作者:	Śāha, Sejal.
其他作者:	Diwan, Anjali.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xv, 86 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Health Informatics. -
電子資源:	https://doi.org/10.1007/978-3-031-69666-4
ISBN:	9783031696664

Artificial intelligence for early detection and diagnosis of cervical cancer
Śāha, Sejal.

Artificial intelligence for early detection and diagnosis of cervical cancer[electronic resource] /by Sejal Shah, Rohit M. Thanki, Anjali Diwan. - Cham :Springer Nature Switzerland :2024. - xv, 86 p. :ill. (some col.), digital ;24 cm. - Signals and communication technology,1860-4870. - Signals and communication technology..

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.

ISBN: 9783031696664

Standard No.: 10.1007/978-3-031-69666-4doiSubjects--Topical Terms:

593963
Health Informatics.

LC Class. No.: RC280.U8

Dewey Class. No.: 616.994660754

Artificial intelligence for early detection and diagnosis of cervical cancer
LDR:02688nam a2200337 a 4500 001 1138308
003 DE-He213
005 20241011125727.0
006 m d
007 cr nn 008maaau
008 250117s2024 sz s 0 eng d
020 $a 9783031696664 $q (electronic bk.)
020 $a 9783031696657 $q (paper)
024 7 $a 10.1007/978-3-031-69666-4 $2 doi
035 $a 978-3-031-69666-4
040 $a GP $c GP
041 0 $a eng
050 4 $a RC280.U8
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 616.994660754 $2 23
090 $a RC280.U8 $b S525 2024
100 1 $a Śāha, Sejal. $3 1461976
245 1 0 $a Artificial intelligence for early detection and diagnosis of cervical cancer $h [electronic resource] / $c by Sejal Shah, Rohit M. Thanki, Anjali Diwan.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xv, 86 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Signals and communication technology, $x 1860-4870
505 0 $a 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.
520 $a 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.
650 2 4 $a Health Informatics. $3 593963
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 1 4 $a Communications Engineering, Networks. $3 669809
650 0 $a Artificial intelligence $x Medical applications. $3 600038
650 0 $a Cervix uteri $x Cancer $x Diagnosis. $3 1251738
700 1 $a Diwan, Anjali. $3 1461977
700 1 $a Thanki, Rohit M. $e author. $0 (orcid)0000-0002-0645-6266 $1 https://orcid.org/0000-0002-0645-6266 $3 1288748
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Signals and communication technology. $3 632627
856 4 0 $u https://doi.org/10.1007/978-3-031-69666-4
950 $a Engineering (SpringerNature-11647)