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Artificial intelligence in breast ca...

Shaikh, Khalid.

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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 diagnosis/ by 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.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Breast - Cancer -
Online resource:	https://doi.org/10.1007/978-3-030-59208-0
ISBN:	9783030592080

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

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

3488571
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
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.
650 0 $a Breast $x Cancer $x Diagnosis $x Data processing. $3 3488571
650 0 $a Diagnostic imaging $x Data processing. $3 817500
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 0 $a Image processing. $3 621117
650 0 $a Machine learning. $3 533906
650 1 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Imaging / Radiology. $3 891022
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Krishnan, Sabitha. $3 3488570
700 1 $a Thanki, Rohit. $3 3298600
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-59208-0
950 $a Engineering (SpringerNature-11647)