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Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis

Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis
A Book

by Ashlesha Jain,Ajita Jain,Sandhya Jain,Lakhmi Jain

  • Publisher : World Scientific
  • Release : 2000-08-21
  • Pages : 348
  • ISBN : 9814492671
  • Language : En, Es, Fr & De
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The main aim of this book is to present a sample of recent research on the application of novel artificial intelligence paradigms to the diagnosis and prognosis of breast cancer. These paradigms include neural networks, fuzzy logic and evolutionary computing. Artificial intelligence techniques offer advantages — such as adaptation, fault tolerance, learning and human-like behavior — over conventional computing techniques. The idea is to combine the pathological, intelligent and statistical approaches to enable simple and accurate diagnosis and prognosis. This book is the first of its kind on the topic of artificial intelligence in breast cancer. It presents the applications of artificial intelligence in breast cancer diagnosis and prognosis, and includes state-of-the-art concepts in the field. It contains contributions from Australia, Germany, Italy, UK and the USA. Contents:An Introduction to Breast Cancer Diagnosis, Prognosis, and Artificial Intelligence (N Harbeck et al.)Automatic Image Feature Extraction for Diagnosis and Prognosis of Breast Cancer (M J Bottema et al.)Decision Support in Breast Cancer: Recent Advances in Prognostic and Predictive Techniques (R Kates et al.)MammoNet: A Bayesian Network Diagnosing Breast Cancer (L M Roberts)Predicting Prognosis and Treatment Response in Breast Cancer Patients (M G Daidone & D Coradini)Computer-Aided Breast Cancer Diagnosis (H-P Chan et al.)Which Decision Support Technologies are Appropriate for the Cytodiagnosis of Breast Cancer? (S S Cross et al.)Xcyt: A System for Remote Cytological Diagnosis and Prognosis of Breast Cancer (W N Street) Readership: Medical practitioners, researchers and graduate students. Keywords:Artificial Intelligence;Soft Computing;Breast Cancer;Diagnosis;Prognosis;Fuzzy Systems;Neural NetworksReviews:“The editors have done an excellent job of putting together a book that highlights the advances and controversies that surround the subject … The book will be of particular interest to clinical decision support systems designers and academic oncologists.”Cancer Forum

Artificial Intelligence Cancer Diagnoshb

Artificial Intelligence Cancer Diagnoshb
A Book

by Suri EL-BAZ

  • Publisher : Unknown Publisher
  • Release : 2022-06-06
  • Pages : 329
  • ISBN : 9780750336017
  • Language : En, Es, Fr & De
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Artificial Intelligence in Cancer

Artificial Intelligence in Cancer
Diagnostic to Tailored Treatment

by Smaranda Belciug

  • Publisher : Academic Press
  • Release : 2020-06-18
  • Pages : 318
  • ISBN : 0128204109
  • Language : En, Es, Fr & De
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Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and its applications in cancer management, building a roadmap on how to use AI in cancer at different stages of healthcare. It discusses topics such as the impactful role of AI during diagnosis and how it can support clinicians to make better decisions, AI tools to help pathologists identify exact types of cancer, how AI supports tumor profiling and can assist surgeons, and the gains in precision for oncologists using AI tools. Additionally, it provides information on AI used for survival and remission/recurrence analysis. The book is a valuable source for bioinformaticians, cancer researchers, oncologists, clinicians and members of the biomedical field who want to understand the promising field of AI applications in cancer management. Discusses over 20 real cancer examples, bringing state-of-the-art cancer cases in which AI was used to help the medical personnel Presents over 100 diagrams, making it easier to comprehend AI’s results on a specific problem through visual resources Explains AI algorithms in a friendly manner, thus helping the reader implement or use them in a specific cancer case

Artificial Intelligence in Breast Cancer Early Detection and Diagnosis

Artificial Intelligence in Breast Cancer Early Detection and Diagnosis
A Book

by Khalid Shaikh,Sabitha Krishnan,Rohit Thanki

  • Publisher : Springer Nature
  • Release : 2020-12-04
  • Pages : 107
  • ISBN : 3030592081
  • Language : En, Es, Fr & De
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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

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare
A Book

by Ankur Saxena

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811608113
  • Language : En, Es, Fr & De
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Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis
A Book

by Utku Kose

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811563217
  • Language : En, Es, Fr & De
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Healthcare and Artificial Intelligence

Healthcare and Artificial Intelligence
A Book

by Bernard Nordlinger,Cédric Villani,Daniela Rus

  • Publisher : Springer Nature
  • Release : 2020-03-17
  • Pages : 279
  • ISBN : 3030321614
  • Language : En, Es, Fr & De
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This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.

Artificial Intelligence and Deep Learning in Pathology

Artificial Intelligence and Deep Learning in Pathology
A Book

by Stanley Cohen

  • Publisher : Elsevier
  • Release : 2020-06
  • Pages : 250
  • ISBN : 9780323675383
  • Language : En, Es, Fr & De
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Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Technical Basis and Clinical Applications

by Lei Xing,Maryellen L. Giger,James K Min

  • Publisher : Academic Press
  • Release : 2020-09-16
  • Pages : 568
  • ISBN : 0128212586
  • Language : En, Es, Fr & De
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Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Uncertainty in Artificial Intelligence

Uncertainty in Artificial Intelligence
Proceedings of the ... Conference on Uncertainty in Artificial Intelligence

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1995
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Enabling AI Applications in Data Science

Enabling AI Applications in Data Science
A Book

by Aboul-Ella Hassanien

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030520676
  • Language : En, Es, Fr & De
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17th Innovative Applications of Artificial Intelligence Conference

17th Innovative Applications of Artificial Intelligence Conference
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 1759
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Sixth International Conference on Tools with Artificial Intelligence

Sixth International Conference on Tools with Artificial Intelligence
Proceedings, November 6-9, 1994, New Orleans, Louisiana

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1994
  • Pages : 842
  • ISBN : 9780818667879
  • Language : En, Es, Fr & De
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Artificial Intelligence and Deep Learning in Pathology E-Book

Artificial Intelligence and Deep Learning in Pathology E-Book
A Book

by Stanley Cohen

  • Publisher : Elsevier Health Sciences
  • Release : 2020-06-02
  • Pages : 288
  • ISBN : 0323675379
  • Language : En, Es, Fr & De
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Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Proceedings of the International Conference on Artificial Intelligence in Medicine, Pavia, Italy, 13-14 Septmeber 1985

by Ivo De Lotto,Mario Stefanelli

  • Publisher : North Holland
  • Release : 1985
  • Pages : 226
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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AI Innovation in Medical Imaging Diagnostics

AI Innovation in Medical Imaging Diagnostics
A Book

by Anbarasan, Kalaivani

  • Publisher : IGI Global
  • Release : 2021-01-01
  • Pages : 248
  • ISBN : 1799830934
  • Language : En, Es, Fr & De
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Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

AI ...

AI ...
Advances in Artificial Intelligence ... Australian Joint Conference on Artificial Intelligence ... Proceedings

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2003
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Proceedings of the IASTED International Conference, Artificial Intelligence and Computing, May 27-30, 1998, Cancun, Mexico

Proceedings of the IASTED International Conference, Artificial Intelligence and Computing, May 27-30, 1998, Cancun, Mexico
A Book

by International Association of Science and Technology for Development

  • Publisher : Anaheim, [Calif.] ; Calgary : IASTED/ACTA Press
  • Release : 1998
  • Pages : 502
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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The Scientific DataLink Index to Artificial Intelligence Research

The Scientific DataLink Index to Artificial Intelligence Research
Supplement

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1985
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Cancer Forum

Cancer Forum
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2002
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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