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Artificial intelligence in breast ca...

Krishnan, Sabitha.

Artificial intelligence in breast cancer early detection and diagnosis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence in breast cancer early detection and diagnosisby Khalid Shaikh, Sabitha Krishnan, Rohit Thanki.
Author:	Shaikh, Khalid.
other author:	Krishnan, Sabitha.
Published:	Cham :Springer International Publishing :2021.
Description:	xii, 107 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BreastCancer
Online resource:	https://doi.org/10.1007/978-3-030-59208-0
ISBN:	9783030592080$q(electronic bk.)

Artificial intelligence in breast cancer early detection and diagnosis
Shaikh, Khalid.

Artificial intelligence in breast cancer early detection and diagnosis[electronic resource] /by Khalid Shaikh, Sabitha Krishnan, Rohit Thanki. - Cham :Springer International Publishing :2021. - xii, 107 p. :ill. (some col.), digital ;24 cm.

An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence -- Breast Cancer and Its Types -- Artificial Intelligence -- Breast Cancer Screening Using AI Methods -- Case Study for Screening of Breast Cancer.

This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics.

ISBN: 9783030592080$q(electronic bk.)

Standard No.: 10.1007/978-3-030-59208-0doiSubjects--Topical Terms:

889163
Breast
--Cancer

LC Class. No.: RC280.B8

Dewey Class. No.: 616.99449075

Artificial intelligence in breast cancer early detection and diagnosis
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245 1 0 $a Artificial intelligence in breast cancer early detection and diagnosis $h [electronic resource] / $c by Khalid Shaikh, Sabitha Krishnan, Rohit Thanki.
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300 $a xii, 107 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence -- Breast Cancer and Its Types -- Artificial Intelligence -- Breast Cancer Screening Using AI Methods -- Case Study for Screening of Breast Cancer.
520 $a This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics.
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650 0 $a Diagnostic imaging $x Data processing. $3 276544
650 0 $a Artificial intelligence $x Medical applications. $3 237917
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650 0 $a Machine learning. $3 188639
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700 1 $a Krishnan, Sabitha. $3 889162
700 1 $a Thanki, Rohit. $3 802343
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