國立虎尾科技大學 |

Intelligent Vision in Healthcare

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Vision in Healthcare/ edited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya.
other author:	Saraswat, Mukesh.
Description:	XIII, 151 p. 65 illus., 49 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-16-7771-7
ISBN:	9789811677717

Intelligent Vision in Healthcare
Intelligent Vision in Healthcare[electronic resource] /edited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya. - 1st ed. 2022. - XIII, 151 p. 65 illus., 49 illus. in color.online resource. - Studies in Autonomic, Data-driven and Industrial Computing,2730-6445. - Studies in Autonomic, Data-driven and Industrial Computing,.

Intelligent Vision in Healthcare -- Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework -- Unsupervised Deep Learning Approach for the Identiﬁcation of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm -- Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image -- A Framework to Classify the Calciﬁcation Region from USG Images of Thyroid Nodules -- Predicting Heart Disease with Multiple Classifiers.

This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.

ISBN: 9789811677717

Standard No.: 10.1007/978-981-16-7771-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Intelligent Vision in Healthcare
LDR:02720nam a22004095i 4500 001 1093641
003 DE-He213
005 20220429021614.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811677717 $9 978-981-16-7771-7
024 7 $a 10.1007/978-981-16-7771-7 $2 doi
035 $a 978-981-16-7771-7
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Intelligent Vision in Healthcare $h [electronic resource] / $c edited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XIII, 151 p. 65 illus., 49 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Autonomic, Data-driven and Industrial Computing, $x 2730-6445
505 0 $a Intelligent Vision in Healthcare -- Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework -- Unsupervised Deep Learning Approach for the Identiﬁcation of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm -- Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image -- A Framework to Classify the Calciﬁcation Region from USG Images of Thyroid Nodules -- Predicting Heart Disease with Multiple Classifiers.
520 $a This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Signal processing. $3 561459
650 0 $a Medical informatics. $3 583858
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Signal, Speech and Image Processing . $3 1366353
650 2 4 $a Health Informatics. $3 593963
700 1 $a Saraswat, Mukesh. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1354226
700 1 $a Sharma, Harish. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1318269
700 1 $a Arya, Karm Veer. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1205900
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811677700
776 0 8 $i Printed edition: $z 9789811677724
776 0 8 $i Printed edition: $z 9789811677731
830 0 $a Studies in Autonomic, Data-driven and Industrial Computing, $x 2730-6437 $3 1354727
856 4 0 $u https://doi.org/10.1007/978-981-16-7771-7
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)