Convolutional Neural Networks for Medical Image Processing Applications
“Convolutional Neural Networks for Medical Image Processing Applications” by Şaban Öztürk, published by CRC Press LLC in 2022, offers a detailed exploration of the integration of artificial intelligence in medical imaging. This 268-page book addresses the increasing reliance on advanced medical devices and the necessity for efficient evaluation of images produced by these technologies. It highlights the transition from traditional hand-crafted methods to more sophisticated convolutional neural network (CNN) architectures, which are recognized as some of the most effective AI techniques in contemporary medical applications.
Readers will find a comprehensive analysis of various CNN methods applied to a range of medical image processing challenges. The book delves into the implications of these advanced techniques for improving diagnostic processes in internal medicine and other fields within the life sciences. By focusing on the intersection of technology and healthcare, this edition serves as a valuable resource for those interested in the advancements in imaging systems and biomedical applications, providing insights into how CNN methods can enhance medical diagnostics and patient care.
Official synopsis Publisher
“With the development of technology, living standards rise and people’s expectations increase. This situation makes itself felt strikingly especially in the medical field. The use of medical devices is rapidly increasing to protect human health. It is very important to quickly evaluate the images obtained from these medical imaging devices. For this purpose, artificial intelligence (AI) methods are used. While hand-crafted methods were preferred in the past, more advanced methods are preferred today. CNN architectures are one of the most effective AI methods today. This book contains applications for the use of CNN methods for medical applications. The content of the book, in which different CNN methods are applied to various medical image processing problems, is quite extensive. Readers will be able to comprehensively analyze the effects of CNN methods presented in the book on medical applications”–
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