Computational Intelligence And Modelling Techniques For Disease Detection In Mammogram Images

Author : D. Jude Hemanth
Publisher : Elsevier
ISBN 13 : 0443140006
Total Pages : 350 pages
Book Rating : 4.06/5 ( download)

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Download or read book Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images written by D. Jude Hemanth and published by Elsevier. This book was released on 2023-11-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images comprehensively examines the wide range of AI-based mammogram analysis methods for medical applications. Beginning with an introductory overview of mammogram data analysis, the book covers the current technologies such as ultrasound, molecular breast imaging (MBI), magnetic resonance (MR), and Positron Emission mammography (PEM), as well as the recent advancements in 3D breast tomosynthesis and 4D mammogram. Deep learning models are presented in each chapter to show how they can assist in the efficient processing of breast images. The book also discusses hybrid intelligence approaches for early-stage detection and the use of machine learning classifiers for cancer detection, staging and density assessment in order to develop a proper treatment plan. This book will not only aid computer scientists and medical practitioners in developing a real-time AI based mammogram analysis system, but also addresses the issues and challenges with the current processing methods which are not conducive for real-time applications. Presents novel ideas for AI based mammogram data analysis Discusses the roles deep learning and machine learning techniques play in efficient processing of mammogram images and in the accurate defining of different types of breast cancer Features dozens of real-world case studies from contributors across the globe

Author : G. Schaefer
Publisher : Chapman & Hall/CRC
ISBN 13 : 9781138112209
Total Pages : 510 pages
Book Rating : 4.08/5 ( download)

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Download or read book Computational Intelligence in Medical Imaging written by G. Schaefer and published by Chapman & Hall/CRC. This book was released on 2017-09-12 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: CI Techniques & Algorithms for a Variety of Medical Imaging Situations Documents recent advances and stimulates further research A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. The contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning approaches. The book presents numerous techniques, algorithms, and models. It describes neural networks, evolutionary optimization techniques, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a reinforcement learning-based multistage image segmentation algorithm, a machine learning approach, Monte Carlo simulations, and intelligent, deformable models. The contributors discuss how these techniques are used to classify wound images, extract the boundaries of skin lesions, analyze prostate cancer, handle the inherent uncertainties in mammographic images, and encapsulate the natural intersubject anatomical variance in medical images. They also examine prostate segmentation in transrectal ultrasound images, automatic segmentation and diagnosis of bone scintigraphy, 3-D medical image segmentation, and the reconstruction of SPECT and PET tomographic images.

Author : Pinheiro dos Santos, Wellington
Publisher : IGI Global
ISBN 13 : 1799834573
Total Pages : 357 pages
Book Rating : 4.71/5 ( download)

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Download or read book Biomedical Computing for Breast Cancer Detection and Diagnosis written by Pinheiro dos Santos, Wellington and published by IGI Global. This book was released on 2020-07-17 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for Breast Cancer Detection and Diagnosis is a collection of research that presents a review of the physiology and anatomy of the breast; the dynamics of breast cancer; principles of pattern recognition, artificial neural networks, and computer graphics; and the breast imaging techniques and computational methods to support and optimize the diagnosis. While highlighting topics including mammograms, thermographic imaging, and intelligent systems, this book is ideally designed for medical oncologists, surgeons, biomedical engineers, medical imaging professionals, cancer researchers, academicians, and students in medicine, biomedicine, biomedical engineering, and computer science.

Author : Vikrant Bhateja
Publisher : Springer Nature
ISBN 13 : 9811504423
Total Pages : 239 pages
Book Rating : 4.26/5 ( download)

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Download or read book Non-Linear Filters for Mammogram Enhancement written by Vikrant Bhateja and published by Springer Nature. This book was released on 2019-11-02 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications. The book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one of the most challenging research domains in image processing.

Author : Supriya Salve
Publisher : diplom.de
ISBN 13 : 3960676417
Total Pages : 49 pages
Book Rating : 4.16/5 ( download)

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Download or read book Classification of Mammogram Images written by Supriya Salve and published by diplom.de. This book was released on 2017-03-23 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast cancer is the most common type of cancer in women, which also causes the most cancer deaths among them today. Mammography is the only reliable method to detect breast cancer in the early stage among all diagnostic methods available currently. Breast cancer can occur in both men and women and is defined as an abnormal growth of cells in the breast that multiply uncontrollably. The main factors which cause breast cancer are either hormonal or genetic. Masses are quite subtle, and have many shapes such as circumscribed, speculated or ill-defined. These tumors can be either benign or malignant. Computer-aided methods are powerful tools to assist the medical staff in hospitals and lead to better and more accurate diagnosis. The main objective of this research is to develop a Computer Aided Diagnosis (CAD) system for finding the tumors in the mammographic images and classifying the tumors as benign or malignant. There are five main phases involved in the proposed CAD system: image pre-processing, extraction of features from mammographic images using Gabor Wavelet and Discrete Wavelet Transform (DWT), dimensionality reduction using Principal Component Analysis (PCA) and classification using Support Vector Machine (SVM) classifier.

Author : Khalid Shaikh
Publisher : Springer Nature
ISBN 13 : 3030592081
Total Pages : 107 pages
Book Rating : 4.80/5 ( download)

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Download or read book Artificial Intelligence in Breast Cancer Early Detection and Diagnosis written by Khalid Shaikh and published by Springer Nature. This book was released on 2020-12-04 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to next generation smart screening technology for medical image analysis that combines artificial intelligence (AI) techniques with digital screening to develop innovative methods for detecting breast cancer. The authors begin with a discussion of breast cancer, its characteristics and symptoms, and the importance of early screening.They then provide insight on the role of artificial intelligence in global healthcare, screening methods for breast cancer using mammogram, ultrasound, and thermogram images, and the potential benefits of using AI-based systems for clinical screening to more accurately detect, diagnose, and treat breast cancer. Discusses various existing screening methods for breast cancer Presents deep information on artificial intelligence-based screening methods Discusses cancer treatment based on geographical differences and cultural characteristics

Author : George A. Tsihrintzis
Publisher : Springer Nature
ISBN 13 : 3031623169
Total Pages : 439 pages
Book Rating : 4.65/5 ( download)

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Download or read book Advances in Artificial Intelligence-Empowered Decision Support Systems written by George A. Tsihrintzis and published by Springer Nature. This book was released on with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : K.C. Santosh
Publisher : CRC Press
ISBN 13 : 0429639325
Total Pages : 200 pages
Book Rating : 4.26/5 ( download)

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Download or read book Medical Imaging written by K.C. Santosh and published by CRC Press. This book was released on 2019-08-20 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

Author : Alberto Tagliafico
Publisher : Springer
ISBN 13 : 3319286315
Total Pages : 148 pages
Book Rating : 4.10/5 ( download)

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Download or read book Digital Breast Tomosynthesis written by Alberto Tagliafico and published by Springer. This book was released on 2016-05-03 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive description of the screening and clinical applications of digital breast tomosynthesis (DBT) and offers straightforward, clear guidance on use of the technique. Informative clinical cases are presented to illustrate how to take advantage of DBT in clinical practice. The importance of DBT as a diagnostic tool for both screening and diagnosis is increasing rapidly. DBT improves upon mammography by depicting breast tissue on a video clip made of cross‐sectional images reconstructed in correspondence with their mammographic planes of acquisition. DBT results in markedly reduced summation of overlapping breast tissue and offers the potential to improve mammographic breast cancer surveillance and diagnosis. This book will be an excellent practical teaching guide for beginners and a useful reference for more experienced radiologists.

Author : K. W. Bowyer
Publisher : World Scientific
ISBN 13 : 9789810215095
Total Pages : 312 pages
Book Rating : 4.96/5 ( download)

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Download or read book State of the Art in Digital Mammographic Image Analysis written by K. W. Bowyer and published by World Scientific. This book was released on 1994 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed assessment of the state of the art in automated techniques for the analysis of digital mammogram images. Topics covered include a variety of approaches for image processing and pattern recognition aimed at assisting the physician in the task of detecting tumors from evidence in mammogram images. The chapters are written by recognized experts in the field and are revised versions of papers selected from those presented at the “First International Workshop on Mammogram Image Analysis” held in San Jose as part of the 1993 Biomedical Image Processing conference.