Best Reference Books – Advance Medical Image Processing

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We have compiled the list of Top 10 Best Reference Books on Advance Medical Image Processing subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Advance Medical Image Processing along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Advance Medical Image Processing subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Advance Medical Image Processing" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)” by Klaus D Toennies

“Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)” Book Review: The book is beneficial for practitioners, computer scientists, electrical engineers and students of medical image processing and analysis. The book discusses imaging techniques, reconstruction techniques and image artifacts. It describes various techniques for image enhancement, feature detection, feature generation, segmentation, registration and validation. The book provides the use of deep convolutional networks for segmentation and labeling tasks. The book also contains information about Markov random field optimization, variational calculus and principal component analysis. Each chapter of the book contains exercise questions at the end of chapter.

2. “Advances in Low-Level Color Image Processing (Lecture Notes in Computational Vision and Biomechanics)” by M Emre Celebi and Bogdan Smolka

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“Advances in Low-Level Color Image Processing (Lecture Notes in Computational Vision and Biomechanics)” Book Review: This book describes developments in digital color imaging and computer hardware technology. It includes medical imaging, content-based image retrieval, biometrics and watermarking. The book also contains digital inpainting, remote sensing and visual quality inspection. The book introduces the color image processing pipeline.

3. “Advanced Algorithmic Approaches to Medical Image Segmentation” by S Kamaledin Setarehdan and Sameer Singh

“Advanced Algorithmic Approaches to Medical Image Segmentation” Book Review: The book discusses medical imaging, required for diagnosis and patient care. It includes information about various imaging modalities like X-rays, computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound. The book explains the model-based segmentation techniques for cardiac, brain, breast and microscopic cancer cell imaging.

4. “Advances in Computational Vision and Medical Image Processing” by R M Natal Jorge and Jo O Manuel R S Tavares

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“Advances in Computational Vision and Medical Image Processing” Book Review: The book contains developments in computational vision and medical image processing. The book tells that mathematics, statistics, psychology, mechanics and physics are used in computational vision. It describes the shape reconstruction, segmentation, registration, behaviour interpretation and simulation, motion and deformation analysis, virtual reality and tissue characterization in modeling.

5. “Medical Image Processing Concepts and Applications” by Sinha G R

“Medical Image Processing Concepts and Applications” Book Review: The book can be referred by undergraduate and postgraduate students of biomedical engineering, computer science engineering and IT. It describes the biomedical image processing, medical image restoration, biomedical image segmentation and soft computing techniques. It presents the noise reduction filters for medical images. The book contains feature extraction and statistical measurement. The book explains the morphological operations used in medical image processing.

6. “Digital Image Processing: An Algorithmic Approach” by Madhuri and Joshi

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“Digital Image Processing: An Algorithmic Approach” Book Review: This book is useful for undergraduate and postgraduate students of electronics and computer science engineering. It gives the applications of image processing. The book explains image fundamentals, image enhancement in the spatial and frequency domains, image construction and image reconstruction from projections. It contains different image transforms and applications of image processing in biometrics, speaker recognition, satellite imaging and medical imaging. The book provides various diagrams and examples to make the topic easy to understand.

7. “Digital Image Processing and Analysis” by Chanda

“Digital Image Processing and Analysis” Book Review: The book provides theoretical and practical approaches to developments in digital image processing. The book explains colour image processing. It contains diagrams and images for easy understanding of concepts. The teachers, professional engineers, researchers and students of computer science and engineering (CSE) and electronics and communication engineering (ECE) will find this book valuable.

8. “Handbook of Medical Image Processing and Analysis (Academic Press Series in Biomedical Engineering)” by Isaac Bankman

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“Handbook of Medical Image Processing and Analysis (Academic Press Series in Biomedical Engineering)” Book Review: The book is beneficial for biomedical engineers, researchers and professionals of medical imaging and medical image processing. It describes the techniques used in processing and analyzing medical images. The book explains higher order statistics for tissue segmentation and growth modeling in oncological image analysis. It gives the analysis of cell nuclear features in fluorescence microscopy images. The book presents imaging and communication in medical and public health informatics. It also explains the dynamic mammogram retrieval from web-based image libraries.

9. “Digital Image Processing for Medical Applications South Asian Edition” by Geoff Dougherty

“Digital Image Processing for Medical Applications South Asian Edition” Book Review: The book is useful for graduate and undergraduate students, who are interested in knowing about digital image processing. The book includes basics of major clinical imaging modalities. It gives the standard image processing operations. It uses actual medical pictures and conditions to clearly understand the concepts.

10. “Digital Image Processing and Pattern Recognition” by Pakhira M K

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“Digital Image Processing and Pattern Recognition” Book Review: The book is valuable for undergraduate and postgraduate students of computer science and engineering and electronics and communication engineering. It covers the information about image formation, digitization, lower level processing, image analysis and image compression. The book also contains statistical decision making, decision tree learning, artificial neural networks and clustering. Various examples and diagrams are also provided in the chapter. The book provides exercise questions at the end of each chapter.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Advance Medical Image Processing – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Advance Medical Image Processing" so that one can readily see the list of top books on "Advance Medical Image Processing" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Advance Medical Image Processing subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter