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.

Autorentext

Soma Datta received the M.Sc. and M.Tech. degrees from the University of Calcutta, India, in 2005 and 2007, respectively. She completed her Ph.D. in 2022 from the same University of Calcutta. At the beginning of her professional career, she had been with the Research and Development section of Tata Consultancy Service (TCS) Limited as a system engineer. After that, she joined the University of Calcutta, Kolkata, as a Ph.D. Research when she was selected for fellowship under the prestigious Visvesvaraya PhD Scheme funded by the Government of India. She has good publications in the image processing domain. Her research interests include medical imaging and pattern recognition. Currently, Soma is an assistant professor in the Department of Engineering, at Sister Nivedita University. Khalid Saeed (Senior Member, IEEE) received the B.Sc. degree in electrical and electronics engineering from Baghdad University, in 1976, and the M.Sc. and Ph.D. (distinguished) degrees from the Wroclaw University of Technology, Poland, in 1978 and 1981, respectively, and the D.Sc. degree (Habilitation) in computer science from the Polish Academy of Sciences, Warsaw, in 2007. He was with the Faculty of Mathematics and Information Sciences, Warsaw University of Technology, from 2014 to 2019. He was with AGH Krakow, from 2008 to 2014. He is currently a full professor of computer science with the Faculty of Computer Science, Bialystok University of Technology. He has published more than 245 publications, including 98 journal articles and book chapters and 87 peer-reviewed conference papers, edited 48 books, journals, and conference proceedings, and written 12 text and reference books (H-index 15 in the WoS base and 12 in the SCOPUS base). Nabendu Chaki is a Professor in the Department Computer Science & Engineering, University of Calcutta, Kolkata, India. He is sharing 7 international patents including 4 US patents. Besides editing more than 40 conference proceedings with Springer, Dr. Chaki has authored 8 text and research books and over 250 Scopus Indexed research papers in Journals and International conferences. He has served as a Visiting Professor in different places including Naval Postgraduate School, USA; Ca Foscari University, Italy and AGH University in Poland. He is the founder Chair of ACM Professional Chapter in Kolkata and served in that capacity for 3 years since January 2014. He had been active during 2009-2015 towards developing several international standards in Software Engineering and Service Science as a Global (GD) member for ISO-IEC.

Inhalt

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.