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Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer [electronic resource] / by Sejal Shah, Rohit M. Thanki, Anjali Diwan.

Por: Shah, Sejal [author.]Colaborador(es): Thanki, Rohit M [author.] | Diwan, Anjali [author.] | SpringerLink (Online service)Tipo de material: Texto

TextoSeries Signals and Communication TechnologyEditor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XV, 86 p. 14 illus., 13 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031696664Tema(s): Telecommunication | Biomedical engineering | Machine learning | Medical informatics | Communications Engineering, Networks | Biomedical Engineering and Bioengineering | Machine Learning | Health InformaticsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5101-5105.9Recursos en línea: Libro electrónico Texto

Contenidos:

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.

En: Springer Nature eBookResumen: 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.

Existencias ( 1 )
Notas de título ( 3 )

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro Electrónico	Biblioteca Electrónica	Colección de Libros Electrónicos		1	No para préstamo

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.

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