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The Use Of Deep Learning In Mapping And Diagnosis Of Cancers


The Use Of Deep Learning In Mapping And Diagnosis Of Cancers
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The Use Of Deep Learning In Mapping And Diagnosis Of Cancers


The Use Of Deep Learning In Mapping And Diagnosis Of Cancers
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Author : Fu Wang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-01-18

The Use Of Deep Learning In Mapping And Diagnosis Of Cancers written by Fu Wang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-18 with Medical categories.




Deep Learning For Cancer Diagnosis


Deep Learning For Cancer Diagnosis
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Author : Utku Kose
language : en
Publisher: Springer Nature
Release Date : 2020-09-12

Deep Learning For Cancer Diagnosis written by Utku Kose and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-12 with Technology & Engineering categories.


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 deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.



Deep Learning Approaches In Image Guided Diagnosis For Tumors


Deep Learning Approaches In Image Guided Diagnosis For Tumors
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Author : Shahid Mumtaz
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-13

Deep Learning Approaches In Image Guided Diagnosis For Tumors written by Shahid Mumtaz and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Medical categories.




Current Applications Of Deep Learning In Cancer Diagnostics


Current Applications Of Deep Learning In Cancer Diagnostics
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Author : Jyotismita Chaki
language : en
Publisher: CRC Press
Release Date : 2023-02-22

Current Applications Of Deep Learning In Cancer Diagnostics written by Jyotismita Chaki and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-22 with Computers categories.


This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques, which are essential to cancer diagnostics. Topics include introduction to current applications of deep learning in cancer diagnostics, pre-processing of cancer data using deep learning, review of deep learning techniques in oncology, overview of advanced deep learning techniques in cancer diagnostics, prediction of cancer susceptibility using deep learning techniques, prediction of cancer reoccurrence using deep learning techniques, deep learning techniques to predict the grading of human cancer, different human cancer detection using deep learning techniques, prediction of cancer survival using deep learning techniques, complexity in the use of deep learning in cancer diagnostics, and challenges and future scopes of deep learning techniques in oncology.



Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems


Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems
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Author : Om Prakash Jena
language : en
Publisher: CRC Press
Release Date : 2022-05-18

Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems written by Om Prakash Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Computers categories.


The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.



Proceedings Of 2024 International Conference On Medical Imaging And Computer Aided Diagnosis Micad 2024


Proceedings Of 2024 International Conference On Medical Imaging And Computer Aided Diagnosis Micad 2024
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Author : Ruidan Su
language : en
Publisher: Springer Nature
Release Date : 2025-04-03

Proceedings Of 2024 International Conference On Medical Imaging And Computer Aided Diagnosis Micad 2024 written by Ruidan Su and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Computers categories.


This book aims to provide a collaborative platform for leading technology minds to exchange insights, foster interdisciplinary dialogue, and propel advancements in both medical imaging and computer-aided diagnosis. As technology evolves, a plethora of state-of-the-art human imaging devices have made remarkable strides in the medical field, transforming diagnostic and treatment standards. Concurrently, there is a growing emphasis on extracting and deciphering extensive information from medical images, spurring the demand for innovative solutions. The fusion of digital image processing and computer vision technologies has paved the way for computer-aided diagnosis (CAD), a pivotal player in disease analysis. This conference extends a warm invitation to researchers, scholars, engineers, scientists, industry leaders, and graduate students active in these fields. Through diverse participation formats, including compelling poster presentations and enlightening oral sessions, attendees will gain profound insights into the intricate interplay between these realms. This book showcases the latest technological breakthroughs, forging valuable connections and envisioning future applications.



Proceedings Of The International Conference On Advances And Applications In Artificial Intelligence Icaaai 2025


Proceedings Of The International Conference On Advances And Applications In Artificial Intelligence Icaaai 2025
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Author : Suman Kumar Swarnkar
language : en
Publisher: Springer Nature
Release Date : 2025-07-23

Proceedings Of The International Conference On Advances And Applications In Artificial Intelligence Icaaai 2025 written by Suman Kumar Swarnkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.


This open access volume presents select proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025). It covers AI fundamentals, machine learning, deep learning, NLP, computer vision, robotics, and ethical AI. Key application areas include healthcare, industry automation, smart cities, agriculture, education, cybersecurity, and business.



Cancer Diagnostics And Therapeutics


Cancer Diagnostics And Therapeutics
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Author : S. K. Basu
language : en
Publisher: Springer Nature
Release Date : 2022-04-15

Cancer Diagnostics And Therapeutics written by S. K. Basu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-15 with Medical categories.


This book presents multiple facets of cancer biology, including cancer diagnosis, therapeutics to the latest developments in cancer informatics, and applications of artificial intelligence for improving oncologic care. The initial section of the book discusses factors contributing to the development and causes of cancer. The subsequent sections discuss the basic principle of imaging and therapeutic techniques, including MRI, CT, and positron emission tomography (PET) Scan. The book further, explores the implications of cancer chemotherapy on the immune system and emphasizes the effective management of cancer-related pain. Towards the end, it covers recent advancements in cancer treatment, including targeted therapy, immunotherapy, interventional radiotherapy, and stem cell-based therapy. Lastly, it summarizes essential strategic elements of cancer informatics for improving patient outcome.



Deep Learning In Medical Image Analysis


Deep Learning In Medical Image Analysis
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Author : R. Indrakumari
language : en
Publisher: CRC Press
Release Date : 2024-07-10

Deep Learning In Medical Image Analysis written by R. Indrakumari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-10 with Computers categories.


This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications This book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.



Optimization Machine Learning And Fuzzy Logic Theory Algorithms And Applications


Optimization Machine Learning And Fuzzy Logic Theory Algorithms And Applications
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Author : Mzili, Toufik
language : en
Publisher: IGI Global
Release Date : 2025-02-20

Optimization Machine Learning And Fuzzy Logic Theory Algorithms And Applications written by Mzili, Toufik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.


Optimization, machine learning, and fuzzy logic are fundamental in the field of computational intelligence, each contributing to solving complex problems across various domains. Optimization techniques focus on finding the best solutions to problems by improving efficiency and minimizing resources. Machine learning enables systems to learn from data, making predictions or decisions without being programmed. Fuzzy logic deals with uncertainty and imprecision, allowing for flexible decision-making processes. Together, these theories, algorithms, and applications solve challenges in fields such as engineering, finance, and healthcare, where traditional methods often fall short. The continued application and exploration of these disciplines may unveil new possibilities for advanced problem-solving and intelligent systems. Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications explores optimization techniques, fuzzy logic, and their integration with machine learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains. This book covers topics such as disease detection, deep learning, and text analysis, and is a useful resource for engineers, data scientists, medical professionals, academicians, and researchers.