Narrow your search

Library

KU Leuven (16)

Vlerick Business School (16)

Odisee (15)

Thomas More Kempen (15)

Thomas More Mechelen (15)

UCLL (15)

VIVES (15)

ULiège (14)

LUCA School of Arts (12)

UGent (11)

More...

Resource type

book (10)

periodical (6)


Language

English (16)


Year
From To Submit

2024 (1)

2023 (1)

2022 (1)

2021 (3)

2020 (4)

More...
Listing 1 - 10 of 16 << page
of 2
>>
Sort by

Book
Deep learning for chest radiographs : computer-aided classification
Author:
ISBN: 0323906869 0323901840 9780323906869 9780323901840 Year: 2021 Publisher: London, England : Academic Press,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry. Provides insights into the theory, algorithms, implementation, and application of deep-learning techniques for medical images such as transfer learning using pretrained CNNs, series networks, directed acyclic graph networks, lightweight CNN models, deep feature extraction, and conventional machine learning approaches for feature selection, feature dimensionality reduction, and classification using support vector machine, neuro-fuzzy classifiers Covers the various augmentation techniques that can be used with medical images and the CNN-based CAC system designs for binary classification of medical images focusing on chest radiographs Investigates the development of an optimal CAC system design with deep feature extraction and classification of chest radiographs by comparing the performance of 12 different CAC system designs.


Book
Artificial intelligence in precision health : from concept to applications
Author:
ISBN: 9780128171332 9780128173381 0128173386 0128171332 Year: 2020 Publisher: London : Academic Press,


Periodical
Artificial intelligence in medicine.
ISSN: 18732860 09333657 Year: 1989 Publisher: Tecklenburg, West Germany : Burgberlag,

Loading...
Export citation

Choose an application

Bookmark

Abstract

"Artificial intelligence in medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, human biology, and health care."

Keywords

Artificial intelligence --- Artificial Intelligence --- Medicine --- Medical Informatics --- Medical applications --- Artificial Intelligence. --- Medicine. --- Intelligence artificielle en médecine --- Medical applications. --- Medical Specialities --- Medical Specialties --- Medical Specialty --- Specialities, Medical --- Specialties, Medical --- Specialty, Medical --- Medical Speciality --- Speciality, Medical --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- periodicals. --- Heuristics --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data processing --- Health Workforce --- Artificial intelligence. --- Intelligence artificielle. --- artificial intelligence.


Book
Introduction to EEG- and speech-based emotion recognition
Authors: --- ---
ISBN: 0128045310 012804490X 9780128045312 9780128044902 Year: 2016 Publisher: Amsterdam, [Netherlands] : Academic Press,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Human-computer interaction. --- Electroencephalography. --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- EEG --- Encephalography --- Brain --- Electrodiagnosis --- Electrophysiology --- Visual evoked response --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Diseases --- Diagnosis --- Pattern Recognition, Automated. --- Artificial Intelligence. --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Automated Pattern Recognition --- Pattern Recognition System --- Pattern Recognition Systems --- Electroencephalogram --- Electroencephalograms --- Cerebral Cortex


Periodical
Advanced intelligent systems.
ISSN: 26404567 Year: 2019 Publisher: Weinheim, Germany : Wiley-VCH Verlag GmbH & Co. KGaA,


Book
Artificial intelligence for computational modeling of the heart
Authors: --- ---
ISBN: 012817594X 0128168951 9780128168950 9780128175941 Year: 2020 Publisher: London, England : Academic Press,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Artificial intelligence --- Medical applications. --- Heart --- Computer Simulation. --- Artificial Intelligence. --- Models, Theoretical. --- Models. --- physiology. --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Computerized Models --- In Silico --- Computer Models --- Models, Computer --- Computer Model --- Computer Simulations --- Computerized Model --- In Silicos --- Model, Computer --- Model, Computerized --- Models, Computerized --- Silico, In --- Silicos, In --- Simulation, Computer --- Simulations, Computer --- Medicine --- Data processing


Book
Developing the digital lung : from first lung CT to clinical AI : the development of quantitative x-ray computed tomography of diffuse lung disease through the use of artificial intelligence
Author:
ISBN: 0323795013 9780323795012 0323795021 9780323795029 Year: 2024 Publisher: Philadelphia, PA : Elsevier Inc.,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease development, including application to clinical medicine. It provides a unique overview of the field, beginning with a review of the origins of artificial intelligence in the mid-1970s and progressing to its application to clinical medicine in the early 2020s. Organized based on the four stages of development, this practical, easy-to-use resource helps you effectively apply artificial intelligences to lung imaging. [From the publisher].


Periodical
Journal of intelligent systems.
ISSN: 2191026X 03341860 Year: 1991 Publisher: Berlin, Germany : De Gruyter

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Artificial intelligence --- Intellect --- System theory --- Artificial Intelligence. --- Expert Systems. --- Systems Theory. --- Intelligence artificielle --- Intelligence --- Systèmes, Théorie des --- Artificial intelligence. --- Intellect. --- System theory. --- Berechenbarkeit. --- Kognitionswissenschaft. --- Künstliche Intelligenz. --- Soft Computing. --- Unterstützungssystem (Informatik) --- Périodiques. --- Life Sciences --- General and Others --- General Systems Theory --- Queuing Theory --- General Systems Theories --- Queuing Theories --- Systems Theories --- Systems Theories, General --- Systems Theory, General --- Theories, General Systems --- Theories, Queuing --- Theories, Systems --- Theory, General Systems --- Theory, Queuing --- Theory, Systems --- Expert System --- System, Expert --- Systems, Expert --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Systems, Theory of --- Systems science --- Human intelligence --- Mind --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Systems Biology --- Heuristics --- Science --- Ability --- Psychology --- Mental retardation --- Thought and thinking --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Philosophy --- Berechenbarkeit --- Kognitionswissenschaft --- Künstliche Intelligenz --- Unterstützungssystem --- Support system --- Benutzer-Unterstützungssystem --- Wissensbasiertes Unterstützungssystem --- Computerunterstützte Intelligenz --- Maschinelle Intelligenz --- KI --- Intelligenz --- Kognitive Wissenschaft --- Cognitive Science --- Kognitionsforschung --- Wissenschaft --- Rekursionstheorie --- Berechnungstheorie --- artificial intelligence --- deep learning --- machine learning --- pattern recognition --- artificial neural networks --- reinforcement learning --- Théorie des systèmes --- Computerunterstützte Intelligenz --- Benutzer-Unterstützungssystem --- Wissensbasiertes Unterstützungssystem


Periodical
Intelligence-based medicine.
ISSN: 26665212 Year: 2020 Publisher: Amsterdam : Elsevier B.V.,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Artificial intelligence --- Medicine --- Artificial intelligence. --- Medicine. --- Artificial Intelligence. --- Medical Informatics. --- Computer Science, Medical --- Health Informatics --- Health Information Technology --- Informatics, Clinical --- Informatics, Medical --- Information Science, Medical --- Clinical Informatics --- Medical Computer Science --- Medical Information Science --- Health Information Technologies --- Informatics, Health --- Information Technology, Health --- Medical Computer Sciences --- Medical Information Sciences --- Science, Medical Computer --- Technology, Health Information --- Computational Biology --- Biomedical Technology --- American Recovery and Reinvestment Act --- Medical Specialities --- Medical Specialties --- Medical Specialty --- Specialities, Medical --- Specialties, Medical --- Specialty, Medical --- Medical Speciality --- Speciality, Medical --- Health Workforce --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- artificial intelligence --- medicine --- healthcare delivery --- deep learning --- machine learning --- Artificial Intelligence --- Medical Informatics --- Intelligence artificielle --- Médecine --- Intelligence artificielle. --- artificial intelligence. --- Informatique. --- Medical applications --- Medical applications. --- Data processing


Book
Advanced machine vision paradigms for medical image analysis
Author:
ISBN: 0128192968 012819295X 9780128192962 9780128192955 Year: 2020 Publisher: London, England : Academic Press,

Loading...
Export citation

Choose an application

Bookmark

Abstract

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis.

Keywords

Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Diagnostic imaging --- Data processing. --- Clinical imaging --- Imaging, Diagnostic --- Medical diagnostic imaging --- Medical imaging --- Noninvasive medical imaging --- Diagnosis, Noninvasive --- Imaging systems in medicine --- Artificial Intelligence. --- Image Processing, Computer-Assisted --- Image Interpretation, Computer-Assisted --- Image Interpretation, Computer Assisted --- Computer-Assisted Image Interpretation --- Computer-Assisted Image Interpretations --- Image Interpretations, Computer-Assisted --- Interpretation, Computer-Assisted Image --- Interpretations, Computer-Assisted Image --- Analysis, Computer-Assisted Image --- Computer-Assisted Image Analysis --- Biomedical Image Processing --- Computer-Assisted Image Processing --- Digital Image Processing --- Image Analysis, Computer-Assisted --- Image Reconstruction --- Medical Image Processing --- Computer Assisted Image Analysis --- Computer Assisted Image Processing --- Computer-Assisted Image Analyses --- Image Analyses, Computer-Assisted --- Image Analysis, Computer Assisted --- Image Processing, Biomedical --- Image Processing, Computer Assisted --- Image Processing, Digital --- Image Processing, Medical --- Image Processings, Medical --- Image Reconstructions --- Medical Image Processings --- Processing, Biomedical Image --- Processing, Digital Image --- Processing, Medical Image --- Processings, Digital Image --- Processings, Medical Image --- Reconstruction, Image --- Reconstructions, Image --- Diagnostic Imaging --- Data Compression --- Multimodal Imaging --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics

Listing 1 - 10 of 16 << page
of 2
>>
Sort by