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Artificial Intelligence in Cancer

Artificial Intelligence in Cancer
  • Author : Smaranda Belciug
  • Publsiher : Academic Press
  • Release : 15 July 2020
  • ISBN : 0128202017
  • Pages : 318 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKArtificial Intelligence in Cancer

Summary:
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 Cancer

Artificial Intelligence in Cancer
  • Author : Smaranda Belciug
  • Publisher : Academic Press
  • Release : 15 July 2020
GET THIS BOOKArtificial Intelligence in Cancer

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

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Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis

Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis
  • Author : Ashlesha Jain,Ajita Jain,Sandhya Jain
  • Publisher : World Scientific
  • Release : 19 May 2022
GET THIS BOOKArtificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis

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

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Artificial Intelligence in Breast Cancer Early Detection and Diagnosis

Artificial Intelligence in Breast Cancer Early Detection and Diagnosis
  • Author : Khalid Shaikh,Sabitha Krishnan,Rohit Thanki
  • Publisher : Springer Nature
  • Release : 04 December 2020
GET THIS BOOKArtificial Intelligence in Breast Cancer Early Detection and Diagnosis

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

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Artificial Intelligence in Oncology Drug Discovery and Development

Artificial Intelligence in Oncology Drug Discovery and Development
  • Author : John Cassidy,Belle Taylor
  • Publisher : BoD – Books on Demand
  • Release : 09 September 2020
GET THIS BOOKArtificial Intelligence in Oncology Drug Discovery and Development

There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development

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Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis
  • Author : Utku Kose,Jafar Alzubi
  • Publisher : Springer Nature
  • Release : 12 September 2020
GET THIS BOOKDeep Learning for Cancer Diagnosis

This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which

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Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
  • Author : David Riaño,Szymon Wilk,Annette ten Teije
  • Publisher : Springer
  • Release : 19 June 2019
GET THIS BOOKArtificial Intelligence in Medicine

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

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Machine Learning in Radiation Oncology

Machine Learning in Radiation Oncology
  • Author : Issam El Naqa,Ruijiang Li,Martin J. Murphy
  • Publisher : Springer
  • Release : 19 June 2015
GET THIS BOOKMachine Learning in Radiation Oncology

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion

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Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
  • Author : Adam Bohr,Kaveh Memarzadeh
  • Publisher : Academic Press
  • Release : 21 June 2020
GET THIS BOOKArtificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its

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Automation, Control and Energy Efficiency in Complex Systems

Automation, Control and Energy Efficiency in Complex Systems
  • Author : Hamid Khayyam
  • Publisher : MDPI
  • Release : 22 December 2020
GET THIS BOOKAutomation, Control and Energy Efficiency in Complex Systems

This book is aimed at serving researchers, engineers, scientists, and engineering graduate and PhD students of engineering and physical science together with individuals interested in engineering and science. This book focuses on the application of engineering methods to complex systems including transportation, building, and manufacturing, with approaches representing a wide variety of disciplines of engineering and science. Throughout the book, great emphases are placed on engineering applications of complex systems, as well as the methodologies of automation, including artificial intelligence,

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Big Data in Radiation Oncology

Big Data in Radiation Oncology
  • Author : Jun Deng,Lei Xing
  • Publisher : CRC Press
  • Release : 07 March 2019
GET THIS BOOKBig Data in Radiation Oncology

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the

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Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
  • Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
  • Publisher : Springer
  • Release : 29 January 2019
GET THIS BOOKArtificial Intelligence in Medical Imaging

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types

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Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
  • Author : Lei Xing,Maryellen L. Giger,James K. Min
  • Publisher : Academic Press
  • Release : 03 September 2020
GET THIS BOOKArtificial Intelligence in Medicine

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

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Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare
  • Author : Ankur Saxena,Shivani Chandra
  • Publisher : Springer Nature
  • Release : 06 May 2021
GET THIS BOOKArtificial Intelligence and Machine Learning in Healthcare

This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed

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Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
  • Author : Lia Morra,Silvia Delsanto,Loredana Correale
  • Publisher : CRC Press
  • Release : 25 November 2019
GET THIS BOOKArtificial Intelligence in Medical Imaging

This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed

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Cancer and Society

Cancer and Society
  • Author : Eric H. Bernicker
  • Publisher : Springer
  • Release : 04 March 2019
GET THIS BOOKCancer and Society

While a number of books have looked at the intersection between human health in general and other topics, such as climate change or diet, this book focuses specifically on cancer as it impacts and is impacted by social justice issues. The massive explosion of research knowledge of cancer immunology and genomics is holding out great promise of therapeutic advances, yet other human actions—climate change, pollution, business decisions, advertising – are fostering health inequalities as well as increasing risks. Those involved

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