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Analysis of dental imageries towards improved diagnosis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analysis of dental imageries towards improved diagnosisby Soma Datta, Khalid Saeed, Nabendu Chaki.
Author:	Datta, Soma.
other author:	Saeed, Khalid.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xx, 156 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Dental cariesImaging
Online resource:	https://doi.org/10.1007/978-981-96-3766-9
ISBN:	9789819637669$q(electronic bk.)

Analysis of dental imageries towards improved diagnosis
Datta, Soma.

Analysis of dental imageries towards improved diagnosis[electronic resource] /by Soma Datta, Khalid Saeed, Nabendu Chaki. - Singapore :Springer Nature Singapore :2025. - xx, 156 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 11991860-9503 ;. - Studies in computational intelligence ;v. 216..

Introduction -- Literature survey on caries detection methods -- Caries lesion detection from colored images -- Caries lesion detection from x-ray images -- Quality improvement of x-ray medical images -- Conclusions and future scope.

This book provides an insight on different types of hardware and software-based caries detection methods and their limitations from treatment perspective. The different chapters are motivated to address some of the important gaps in the prevailing approaches and suggest suitable solution to them. Overall, it helps the reader to understand the caries detection methods to identify interproximal and occlusal caries. This also assists the practitioners. The book identifies multiple research issues on dental caries detection that open the practitioners' horizons to an array of domains from which they can conclude practical insights about their area of interest.

ISBN: 9789819637669$q(electronic bk.)

Standard No.: 10.1007/978-981-96-3766-9doiSubjects--Topical Terms:

991494
Dental caries
--Imaging

LC Class. No.: RK331

Dewey Class. No.: 617.670754

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520 $a This book provides an insight on different types of hardware and software-based caries detection methods and their limitations from treatment perspective. The different chapters are motivated to address some of the important gaps in the prevailing approaches and suggest suitable solution to them. Overall, it helps the reader to understand the caries detection methods to identify interproximal and occlusal caries. This also assists the practitioners. The book identifies multiple research issues on dental caries detection that open the practitioners' horizons to an array of domains from which they can conclude practical insights about their area of interest.
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650 2 4 $a Artificial Intelligence. $3 212515
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