Download or read book Early Detection of Breast Cancer Through Supervised Machine Learning written by Sandeep Chaurasia and published by . This book was released on 2015-03-19 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Early Detection of Breast Cancer written by S. Brünner and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The enormous expansion seen over the last decade in the mammo graphic detection of breast cancer lesions, especially the use of screen ing procedures for the early detection of clinically unsuspected tumors, has made it necessary to summarize the experience made by various centers in the world. The 2nd International Copenhagen Symposium on Detection of Breast Cancer afforded an opportunity of gathering scientists from all over the world to discuss the various problems of early breast cancer detection with special reference to screening procedures. This book forms a synthesis of the information presented by leading scientists from many of the world's mammo graphic centers, particularly those in Sweden and the USA. Hence, the reader will have the opportunity to study the outstanding work carried out by various institutes and centers of breast cancer screening. It is our sincere hope that a study of this volume will encourage other scientists to join in the work on screening procedures. S. Brunner B. Langfeldt P. E. Andersen Contents S. A. Feig: 1 Hypothetical Breast Cancer Risk from Mammography S. A. Feig: Benefits and Risks of Mammography 11 R. L. Egan and M. B. McSweeney: Multicentric Breast Carcinoma . . . . . . . . . . . . . . . . . . . . . . . . 28 M. B. McSweeney and R. L. Egan: Breast Cancer in the Younger Patient: A Preliminary Report 36 M. B. McSweeney and R. L. Egan: Bilateral Breast Carcinoma . . . . . . . . . . . . . . . . . . . . . . . . . . . ' 41 N. Bjurstam: The Radiographic Appearance of Normal and Metastatic Axillary Lymph Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 M. Moskowitz, S. A. Feig, C. Cole-Beuglet, S. H.
Download or read book Using Supervised Machine Learning for Early Lung Cancer Detection written by Jessica Vo and published by . This book was released on 2020 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: In 2018, the top three most common cancer types in the United States were breast cancer, lung cancer, and prostate cancer, in descending order. In 2019, approximately 13% of new cancer types are derived from lung cancer. Most late diagnosed cases are caused by hidden genetic variants and other subjective factors, such as smoking. In this study, we focus on applying supervised machine learning techniques (logistic regression, random forest, gradient boosting, extreme gradient boosting, support vector machine, and Bayesian additive regression trees) to the microarray gene expression data in order to detect those inherited factors which are most correlated to lung cancer development in the Caucasian smoking population. The model validation metrics are the area under the receiver operating characteristic curve, accuracy, sensitivity, specificity, recall, and precision percentages. The most effective model was found to be gradient boosting, which gives the highest prediction power (97.9%), with a recall of 90.9% and a precision of 90.9%.
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
Download or read book 2021 IEEE 18th India Council International Conference INDICON written by IEEE Staff and published by . This book was released on 2021-12-19 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Tracks for the Event AI and Data Science Robotics and Cybernetics Devices, Circuits and Systems Control and Instrumentation VLSI and Nanotechnology Power, Energy and Power Electronics Computational Biology and Biomedical Informatics Antenna and Microwave Techniques Communications Networks, IoT Computer Architecture and Embedded Systems Signal Processing and Multimedia Security and Privacy
Download or read book Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems written by E. Priya and published by Springer Nature. This book was released on 2020-09-21 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.
Download or read book C4 5 written by J. Ross Quinlan and published by Morgan Kaufmann. This book was released on 1993 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a complete guide to the C4.5 system as implemented in C for the UNIX environment. It contains a comprehensive guide to the system's use, the source code (about 8,800 lines), and implementation notes.
Download or read book Developing Technologies for Early Detection of Breast Cancer written by National Research Council and published by National Academies Press. This book was released on 2000-08-06 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: In November 1999, the Institute of Medicine, in consultation with the Commission on Life Sciences, the Commission on Physical Sciences, Mathematics, and Applications, and the Board on Science, Technology and Economic Policy launched a one year study on technologies for early detection of breast cancer. The committee was asked to examine technologies under development for early breast cancer detection, and to scrutinize the process of medical technology development, adoption, and dissemination. The committee is gathering information on these topics for its report in a number of ways, including two public workshops that bring in outside expertise. The first workshop on "Developing Technologies for Early Breast Cancer Detection" was held in Washington DC in February 2000. The content of the presentations at the workshop is summarized here. A second workshop, which will focus on the process of technology development and adoption, will be held in Washington, DC on June 19-20. A formal report on these topics, including conclusions and recommendations, will be prepared by the committee upon completion of the one-year study.
Download or read book Breast Cancer Classification Using Machine Learning An Empirical Study written by Akor Ugwu and published by GRIN Verlag. This book was released on 2021-05-11 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diploma Thesis from the year 2020 in the subject Medicine - Diagnostics, grade: 3.55, , course: Computer Science, language: English, abstract: The study will classify breast cancers into foremost problems: (Benign tumor and Malignant tumor). A benign tumor is a most cancers does now not invade its surrounding tissue or spread around the host. A malignant tumor is another kind of cancers which can invade its surrounding tissue or spread around the frame of the host. Benign cancers on uncommon event can also surely result in someone’s death, but as a fashionable rule they're no longer nearly as horrific because the malignant cancers. The malignant cancers at the contrary are like those killer bees. In this situation, you do not need to be doing something to them or maybe be everywhere near their hive, they will just spread out and attack you emass – they could even kill the individual if they are extreme enough. Manual manner of cancer category into benign and malignant may be very tedious, susceptible to human error and unnecessarily time consuming. The proposed system while constructed can robotically classify the sort of most cancers into the safe (benign) and also the risky (malignant). This machine plays this role through the usage of machine getting to know algorithm. The following is the extensive of this new system: Classification mistakes could be notably removed, early analysis of disorder, removal of possible human mistakes and the device does no longer die. However, the researcher seeks to detect and assess the class of breast using Machine learning.
Download or read book Early Detection of Cancer Using Machine Learning written by Suresh Rudrahithlu and published by . This book was released on 2022-08-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: - In this day of modern science and age where scientific and technological accomplishments are touching new heights with every second that is passing, the main step in cancer detection is how to classify tumours into malignant or benign which is a challenging task. Machine learning techniques can enormously improve the accuracy of diagnosis. We aim to classify tumour into malignant or benign tumour using different features from several cell images. Machine learning uses the computer data to learn and then use this data to learn a particular pattern or trend in the data. The increasing cancer rate all over the world in today's date is alarming and there is an increased need for efficient cancer detecting techniques. This is possible using Machine learning. This technique provides early detection of tumour which eventually helps in early diagnosis which plays an important role in the treatment of tumour patients.According to global statistics breast cancer is a significant public health problem in today's society because of its widespread increase in cancer rates. Because of its unique advantages in critical features detection from complex data sets, machine learning (ML) is widely recognized as the methodology of choice in cancer pattern classification.
Download or read book Diagnosis of Breast Cancer Using Support Vector Machine written by DR. SYED HAUIDER ABBAS and published by Blue Hill Publications. This book was released on 2024-05-28 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: First and foremost, we express our deepest gratitude to God. Throughout the process of compiling this book, we have come to appreciate the profound impact of the gift of writing, which has empowered us to pursue our dreams and believe in our passions. Without divine trust and guidance, this accomplishment would not have been possible. We extend our sincere thanks to all those involved in this project, especially the authors and reviewers whose contributions were instrumental in bringing this book to fruition. Their support has been invaluable, and we are grateful for their dedication and expertise. We also thank God for granting us the opportunity to delve into this highly relevant subject matter at this time, and we acknowledge the collective efforts of each author for their invaluable contributions. Special appreciation goes to all the chapter authors who generously shared their time and expertise. Additionally, we acknowledge the valuable feedback provided by the peer reviewers, whose suggestions greatly enhanced the quality, coherence, and content of the chapters. We are especially grateful to those authors who served as referees, dedicating their time and effort to ensure the integrity of this work. DR. SYED HAUIDER ABBAS DR. KRISHNA PRASAD K
Download or read book Cancer Prediction for Industrial IoT 4 0 written by Meenu Gupta and published by CRC Press. This book was released on 2021-12-31 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in different cancer prediction and treatment options are discussed, including specific ideas, tools and practices most applicable to product/service development and innovation opportunities. The wide variety of topics covered offers readers multiple perspectives on various disciplines. Features • Covers the fundamentals, history, reality and challenges of cancer • Presents concepts and analysis of different cancers in humans • Discusses Machine Learning-based deep learning and data mining concepts in the prediction of cancer • Offers real-world examples of cancer prediction • Reviews strategies and tools used in cancer prediction • Explores the future prospects in cancer prediction and treatment Readers will learn the fundamental concepts and analysis of cancer prediction and treatment, including how to apply emerging technologies such as Machine Learning into practice to tackle challenges in domains/fields of cancer with real-world scenarios. Hands-on chapters contributed by academicians and other professionals from reputed organizations provide and describe frameworks, applications, best practices and case studies on emerging cancer treatment and predictions. This book will be a vital resource to graduate students, data scientists, Machine Learning researchers, medical professionals and analytics managers.
Download or read book Breast Imaging written by Christoph I. Lee and published by Oxford University Press. This book was released on 2018 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast Imaging presents a comprehensive review of the subject matter commonly encountered by practicing radiologists and radiology residents in training. This volume includes succinct overviews of breast cancer epidemiology, screening, staging, and treatment; overviews of all imaging modalities including mammography, tomosynthesis, ultrasound, and MRI; step-by-step approaches for image-guided breast interventions; and high-yield chapters organized by specific imaging finding seen on mammography, tomosynthesis, ultrasound, and MRI. Part of the Rotations in Radiology series, this book offers a guided approach to breast imaging interpretation and techniques, highlighting the nuances necessary to arrive at the best diagnosis and management. Each chapter contains a targeted discussion of an imaging finding which reviews the anatomy and physiology, distinguishing features, imaging techniques, differential diagnosis, clinical issues, key points, and further reading. Breast Imaging is a must-read for residents and practicing radiologists seeking a foundation for the essential knowledge base in breast imaging.
Download or read book Discovering Knowledge in Data written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2005-01-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include: * Data preprocessing and classification * Exploratory analysis * Decision trees * Neural and Kohonen networks * Hierarchical and k-means clustering * Association rules * Model evaluation techniques Complete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.
Download or read book Information Management and Machine Intelligence written by Dinesh Goyal and published by Springer. This book was released on 2021-09-18 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers presented at the International Conference on Information Management and Machine Intelligence (ICIMMI 2019), held at the Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India, on December 14–15, 2019. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.
Download or read book Automated breast cancer detection and classification using ultrasound images A survey written by H.D.Cheng and published by Infinite Study. This book was released on with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown, early detection and diagnosis is the key for breast cancer control, and it can increase the success of treatment, save lives and reduce cost. Ultrasound imaging is one of the most frequently used diagnosis tools to detect and classify abnormalities of the breast.
Download or read book Early Prediction of Diseases using Deep Learning and Machine Learning Techniques written by Dr. Sasidhar B and published by Archers & Elevators Publishing House. This book was released on with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt:
