This book comprises select peer-reviewed proceedings of the medical challenge - C-NMC challenge: Classification of normal versus malignant cells in B-ALL white blood cancer microscopic images. The challenge was run as part of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI) 2019 held at Venice, Italy in April 2019. Cell classification via image processing has recently gained interest from the point of view of building computer-assisted diagnostic tools for blood disorders such as leukaemia. In order to arrive at a conclusive decision on disease diagnosis and degree of progression, it is very important to identify malignant cells with high accuracy. Computer-assisted tools can be very helpful in automating the process of cell segmentation and identification because morphologically both cell types appear similar. This particular challenge was run on a curated data set of more than 14000 cell images of very high quality. More than 200 international teams participated in the challenge. This book covers various solutions using machine learning and deep learning approaches. The book will prove useful for academics, researchers, and professionals interested in building low-cost automated diagnostic tools for cancer diagnosis and treatment.

This book comprises select peer-reviewed proceedings of the medical challenge - C-NMC challenge: Classification of normal versus malignant cells in B-ALL white blood cancer microscopic images. The challenge was run as part of the IEEE International Symposium on Biomedical Imaging (IEEE ISBI) 2019 held at Venice, Italy in April 2019. Cell classification via image processing has recently gained interest from the point of view of building computer-assisted diagnostic tools for blood disorders such as leukaemia. In order to arrive at a conclusive decision on disease diagnosis and degree of progression, it is very important to identify malignant cells with high accuracy. Computer-assisted tools can be very helpful in automating the process of cell segmentation and identification because morphologically both cell types appear similar. This particular challenge was run on a curated data set of more than 14000 cell images of very high quality. More than 200 international teams participated in the challenge. This book covers various solutions using machine learning and deep learning approaches. The book will prove useful for academics, researchers, and professionals interested in building low-cost automated diagnostic tools for cancer diagnosis and treatment.

This text book covers a wide area of interest in digital imaging in the field of dentistry.It deals with the history of digital imaging in dentistry and its present scope.It covers the latest technology used in dental imaging as well as the detailed technical know how of each imaging portfolio.It covers various technologies like CT, MRI, 3D CT, CBCT.It compares various imaging portfolios with each other and gives a overall view of the various technologies available for various treatment protocols for the patients as well as the dentist.This text will also help the technical staff as well as the undergraduates and postgraduates to understand their operated machines in a better way to get the best results for the given treatment.Digitizing dental Imaging has revolutionized the way dentistry is surging ahead in the future.This is a dream come true for dentists.A vision Fulfilled

Gutta Percha is being used in dentistry, especially in the field of endodontics for a very long time with lot of clinical success. This text book describes the manufacturing of the product, its physical and chemical nature and its various forms, used in root canal treatment. Recent manufacturing modifications have taken this material a step further and has made it a material of choice for endodontists till a better replacement is found in the future. This text book will help dental undergraduates and post graduates understand the material better to work more efficiently with it. This text also highlights the various techniques and equipment used for obturating root canal systems with the help of Gutta Percha as a root canal filling material.This material has shown excellent clinical success and more we understand its properties the better handling can drastically improve the success rate of the treatment done. This is nature's gift to endodontists and is here to stay.