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Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis
  • Author : Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
  • Publisher : Academic Press
  • Release : 11 August 2020
GET THIS BOOKAdvanced Machine Vision Paradigms for Medical Image Analysis

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

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Computer Vision and Machine Intelligence in Medical Image Analysis

Computer Vision and Machine Intelligence in Medical Image Analysis
  • Author : Mousumi Gupta,Debanjan Konar,Siddhartha Bhattacharyya,Sambhunath Biswas
  • Publisher : Springer Nature
  • Release : 28 August 2019
GET THIS BOOKComputer Vision and Machine Intelligence in Medical Image Analysis

This book includes high-quality papers presented at the Symposium 2019, organised by Sikkim Manipal Institute of Technology (SMIT), in Sikkim from 26–27 February 2019. It discusses common research problems and challenges in medical image analysis, such as deep learning methods. It also discusses how these theories can be applied to a broad range of application areas, including lung and chest x-ray, breast CAD, microscopy and pathology. The studies included mainly focus on the detection of events from biomedical signals.

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Hybrid Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
  • Publisher : Academic Press
  • Release : 05 March 2020
GET THIS BOOKHybrid Computational Intelligence

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of

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Advanced Computational Intelligence Paradigms in Healthcare - 3

Advanced Computational Intelligence Paradigms in Healthcare - 3
  • Author : Margarita Sordo,Sachin Vaidya
  • Publisher : Springer
  • Release : 20 August 2008
GET THIS BOOKAdvanced Computational Intelligence Paradigms in Healthcare - 3

This volume details the latest state-of-the-art research on computational intelligence paradigms in healthcare in the intelligent agent environment. The book presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems. These include intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems.

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Computer Vision in Advanced Control Systems-5

Computer Vision in Advanced Control Systems-5
  • Author : Margarita N. Favorskaya,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release : 07 December 2019
GET THIS BOOKComputer Vision in Advanced Control Systems-5

This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

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Medical and Biological Image Analysis

Medical and Biological Image Analysis
  • Author : Anonim
  • Publisher : BoD – Books on Demand
  • Release : 04 July 2018
GET THIS BOOKMedical and Biological Image Analysis

This book deals with medical image analysis methods. In particular, it contains two significant chapters on image segmentation as well as some selected examples of the application of image analysis and processing methods. Despite the significant development of information technology methods used in modern image analysis and processing algorithms, the segmentation process remains open. This is mainly due to intra-patient variability and/or scene diversity. Segmentation is equally difficult in the case of ultrasound imaging and depends on the location

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Intelligent Paradigms for Healthcare Enterprises

Intelligent Paradigms for Healthcare Enterprises
  • Author : Barry G. Silverman,Lakhmi C. Jain,Ashlesha Jain,Ajita Ichalkaranje
  • Publisher : Springer Science & Business Media
  • Release : 25 August 2005
GET THIS BOOKIntelligent Paradigms for Healthcare Enterprises

This compendium brings together leading researchers in the fields of Intelligent Systems and healthcare aiming at medical engineers, healthcare managers and computer scientists worldwide. This book is an overview of intelligent paradigms and strategic investments that might payoff for the healthcare enterprise. Specifically, the reader will get ideas for efficiency enhancements for improving effectiveness and quality of care and for increasing patient safety. "Advanced Intelligent Paradigms in Healthcare" straddles technologic topics from DNA processing and automating medical second opinions in

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Advanced Imaging in Biology and Medicine

Advanced Imaging in Biology and Medicine
  • Author : Ch.W. Sensen,Benedikt Hallgrimsson
  • Publisher : Springer Science & Business Media
  • Release : 03 December 2008
GET THIS BOOKAdvanced Imaging in Biology and Medicine

A picture says more than a thousand words. This is something that we all know to be true. Imaging has been important since the early days of medicine and bi- ogy, as seen in the anatomical studies of Leonardo Da Vinci or Andreas Vesalius. More than 100 years ago, the ?rst noninvasive imaging technologies, such as K- rad Roentgen’s X-ray technology,were applied to the medical ?eld—and while still crude—revolutionized medical diagnosis. Today, every patient will be exposed

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Machine Vision and Advanced Image Processing in Remote Sensing

Machine Vision and Advanced Image Processing in Remote Sensing
  • Author : Ioannis Kanellopoulos,Graeme G. Wilkinson,Theo Moons
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKMachine Vision and Advanced Image Processing in Remote Sensing

Since 1994, the European Commission has undertaken various actions to expand the use of Earth observation (EO) from space in the Union and to stimulate value-added services based on the use of Earth observation satellite data.' By supporting research and technological development activities in this area, DG XII responded to the need to increase the cost-effectiveness of space derived environmental information. At the same time, it has contributed to a better exploitation of this unique technology, which is a key

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Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction
  • Author : Florian Knoll,Andreas Maier,Daniel Rueckert
  • Publisher : Springer
  • Release : 11 September 2018
GET THIS BOOKMachine Learning for Medical Image Reconstruction

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.

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Machine Learning Paradigms

Machine Learning Paradigms
  • Author : George A. Tsihrintzis,Lakhmi C. Jain
  • Publisher : Springer Nature
  • Release : 23 July 2020
GET THIS BOOKMachine Learning Paradigms

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from

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Natural User Interfaces in Medical Image Analysis

Natural User Interfaces in Medical Image Analysis
  • Author : Marek R. Ogiela,Tomasz Hachaj
  • Publisher : Springer
  • Release : 07 June 2014
GET THIS BOOKNatural User Interfaces in Medical Image Analysis

This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms

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Computational Intelligence Paradigms in Advanced Pattern Classification

Computational Intelligence Paradigms in Advanced Pattern Classification
  • Author : Marek R. Ogiela,Lakhmi C. Jain
  • Publisher : Springer Science & Business Media
  • Release : 13 January 2012
GET THIS BOOKComputational Intelligence Paradigms in Advanced Pattern Classification

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, advanced image filtration and intelligent multi-object labelling and classification. It is directed to the scientists, application engineers, professors, professors and students will find this book useful.

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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
  • Author : Aboul Ella Hassanien,Ashraf Darwish
  • Publisher : Springer Nature
  • Release : 14 December 2020
GET THIS BOOKMachine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

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