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This book reviews the state of the art in deep learning approaches
to high-performance robust disease detection, robust and accurate
organ segmentation in medical image computing (radiological and
pathological imaging modalities), and the construction and mining
of large-scale radiology databases. It particularly focuses on the
application of convolutional neural networks, and on recurrent
neural networks like LSTM, using numerous practical examples to
complement the theory. The book's chief features are as follows: It
highlights how deep neural networks can be used to address new
questions and protocols, and to tackle current challenges in
medical image computing; presents a comprehensive review of the
latest research and literature; and describes a range of different
methods that employ deep learning for object or landmark detection
tasks in 2D and 3D medical imaging. In addition, the book examines
a broad selection of techniques for semantic segmentation using
deep learning principles in medical imaging; introduces a novel
approach to text and image deep embedding for a large-scale chest
x-ray image database; and discusses how deep learning relational
graphs can be used to organize a sizable collection of radiology
findings from real clinical practice, allowing semantic
similarity-based retrieval.The intended reader of this edited book
is a professional engineer, scientist or a graduate student who is
able to comprehend general concepts of image processing, computer
vision and medical image analysis. They can apply computer science
and mathematical principles into problem solving practices. It may
be necessary to have a certain level of familiarity with a number
of more advanced subjects: image formation and enhancement, image
understanding, visual recognition in medical applications,
statistical learning, deep neural networks, structured prediction
and image segmentation.
This book discusses what is often called the "Great Leap Famine",
which occurred in China during the years from 1959 to 1961.
Scholarly consensus suggests that 30 million Chinese perished. Yang
Songlin's book provides an evidence-based, systematic and
substantial rebuff, concluding that a much smaller number of deaths
can be verified. This book is of interest to scholars of China and
Chinese development and politics, economists, and demographers.
This volume is a collection of original studies based on one of the
first research programs on comparative analysis of social capital.
Data are drawn from national representative samples of the United
States, China and Taiwan. The three societies selected for study
allow the examination of how political-economic regimes (command
versus market) and cultural factors (family centrality versus
diverse social ties) affect the characteristics of social ties and
social networks from which resources are accessed and mobilized.
This book is highly informative and carefully presented, providing
scientific insights into the flood resources utilization in the
Yangtze River Basin both for scholars and decision-makers. The book
is for the purpose of analyzing the potential utilization of flood
resources in the Yangtze River Basin and exploring effective ways
to put forward the countermeasures against the risks. Major
objectives of this book include: (1) revealing the characteristics
of the inflow and the sediment variation in the upper reaches of
the Yangtze River, quantitatively evaluating the potential
utilization of the flood resources in the Yangtze River and
demonstrating the feasibility of its utilization in the Basin; (2)
proposing the necessity and feasibility of utilizing the flood
resources by the Three Gorges Project; (3) shedding new light on
the characteristics of the flood resources, presenting different
methods of flood resources utilization in different regions over
the Basin and raising the overall risk-optimized strategies of the
flood resources utilization in the Yangtze River; (4) analyzing the
risk of flood resources utilization for the Three Gorges Project
regarding flood control, sediment, ecology, etc., and putting
forward the risk-optimized countermeasures of flood resources
utilization for the Three Gorges Project.
This book discusses what is often called the "Great Leap Famine",
which occurred in China during the years from 1959 to 1961.
Scholarly consensus suggests that 30 million Chinese perished. Yang
Songlin's book provides an evidence-based, systematic and
substantial rebuff, concluding that a much smaller number of deaths
can be verified. This book is of interest to scholars of China and
Chinese development and politics, economists, and demographers.
This book is highly informative and carefully presented, providing
scientific insights into the flood resources utilization in the
Yangtze River Basin both for scholars and decision-makers. The book
is for the purpose of analyzing the potential utilization of flood
resources in the Yangtze River Basin and exploring effective ways
to put forward the countermeasures against the risks. Major
objectives of this book include: (1) revealing the characteristics
of the inflow and the sediment variation in the upper reaches of
the Yangtze River, quantitatively evaluating the potential
utilization of the flood resources in the Yangtze River and
demonstrating the feasibility of its utilization in the Basin; (2)
proposing the necessity and feasibility of utilizing the flood
resources by the Three Gorges Project; (3) shedding new light on
the characteristics of the flood resources, presenting different
methods of flood resources utilization in different regions over
the Basin and raising the overall risk-optimized strategies of the
flood resources utilization in the Yangtze River; (4) analyzing the
risk of flood resources utilization for the Three Gorges Project
regarding flood control, sediment, ecology, etc., and putting
forward the risk-optimized countermeasures of flood resources
utilization for the Three Gorges Project.
This book reviews the state of the art in deep learning approaches
to high-performance robust disease detection, robust and accurate
organ segmentation in medical image computing (radiological and
pathological imaging modalities), and the construction and mining
of large-scale radiology databases. It particularly focuses on the
application of convolutional neural networks, and on recurrent
neural networks like LSTM, using numerous practical examples to
complement the theory. The book's chief features are as follows: It
highlights how deep neural networks can be used to address new
questions and protocols, and to tackle current challenges in
medical image computing; presents a comprehensive review of the
latest research and literature; and describes a range of different
methods that employ deep learning for object or landmark detection
tasks in 2D and 3D medical imaging. In addition, the book examines
a broad selection of techniques for semantic segmentation using
deep learning principles in medical imaging; introduces a novel
approach to text and image deep embedding for a large-scale chest
x-ray image database; and discusses how deep learning relational
graphs can be used to organize a sizable collection of radiology
findings from real clinical practice, allowing semantic
similarity-based retrieval.The intended reader of this edited book
is a professional engineer, scientist or a graduate student who is
able to comprehend general concepts of image processing, computer
vision and medical image analysis. They can apply computer science
and mathematical principles into problem solving practices. It may
be necessary to have a certain level of familiarity with a number
of more advanced subjects: image formation and enhancement, image
understanding, visual recognition in medical applications,
statistical learning, deep neural networks, structured prediction
and image segmentation.
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Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II (Paperback, 1st ed. 2017)
Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, …
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R3,145
Discovery Miles 31 450
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Ships in 10 - 15 working days
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This two-volume set, LNAI 10234 and 10235, constitutes the
thoroughly refereed proceedings of the 21st Pacific-Asia Conference
on Advances in Knowledge Discovery and Data Mining, PAKDD 2017,
held in Jeju, South Korea, in May 2017. The 129 full papers were
carefully reviewed and selected from 458 submissions. They are
organized in topical sections named: classification and deep
learning; social network and graph mining; privacy-preserving
mining and security/risk applications; spatio-temporal and
sequential data mining; clustering and anomaly detection;
recommender system; feature selection; text and opinion mining;
clustering and matrix factorization; dynamic, stream data mining;
novel models and algorithms; behavioral data mining; graph
clustering and community detection; dimensionality reduction.
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Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I (Paperback, 1st ed. 2017)
Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, …
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R3,140
Discovery Miles 31 400
|
Ships in 10 - 15 working days
|
This two-volume set, LNAI 10234 and 10235, constitutes the
thoroughly refereed proceedings of the 21st Pacific-Asia Conference
on Advances in Knowledge Discovery and Data Mining, PAKDD 2017,
held in Jeju, South Korea, in May 2017. The 129 full papers were
carefully reviewed and selected from 458 submissions. They are
organized in topical sections named: classification and deep
learning; social network and graph mining; privacy-preserving
mining and security/risk applications; spatio-temporal and
sequential data mining; clustering and anomaly detection;
recommender system; feature selection; text and opinion mining;
clustering and matrix factorization; dynamic, stream data mining;
novel models and algorithms; behavioral data mining; graph
clustering and community detection; dimensionality reduction.
Mere decades ago, the population of Guangzhou was almost wholly
Chinese. Today, it is a truly global city, a place where people
from around the world go to make new lives, find themselves, or
further their careers. A large number of those migrants are
small-scale traders from Africa who deal in Chinese goods often
knock-offs or copies of high-end branded items to send back to
their home countries. In The World in Guangzhou, Gordon Mathews
explores the question of how the city became such a center of
"low-end" globalization and shows what we can learn from that
experience similar transformations elsewhere in the world. Through
detailed ethnographic portraits, Mathews reveals a world of
globalization based on informality, reputation, and trust rather
than on formal contracts. How, he asks, can such informal
relationships emerge between two groups Chinese and Sub-Saharan
Africans that don't share a common language, culture, or religion?
And what happens when Africans move beyond their status as
temporary residents and begin to put down roots and establish
families? Full of unforgettable characters, The World in Guangzhou
presents a compelling account of globalization at ground level and
offers a look into the future of urban life as transnational
connections continue to remake cities around the world.
Mere decades ago, the population of Guangzhou was almost wholly
Chinese. Today, it is a truly global city, a place where people
from around the world go to make new lives, find themselves, or
further their careers. A large number of those migrants are
small-scale traders from Africa who deal in Chinese goods often
knock-offs or copies of high-end branded items to send back to
their home countries. In The World in Guangzhou, Gordon Mathews
explores the question of how the city became such a center of
"low-end" globalization and shows what we can learn from that
experience similar transformations elsewhere in the world. Through
detailed ethnographic portraits, Mathews reveals a world of
globalization based on informality, reputation, and trust rather
than on formal contracts. How, he asks, can such informal
relationships emerge between two groups Chinese and Sub-Saharan
Africans that don't share a common language, culture, or religion?
And what happens when Africans move beyond their status as
temporary residents and begin to put down roots and establish
families? Full of unforgettable characters, The World in Guangzhou
presents a compelling account of globalization at ground level and
offers a look into the future of urban life as transnational
connections continue to remake cities around the world.
The book puts forward dynamically enabled cyber defense technology
as a solution to the system homogenization problem. Based on the
hierarchy of the protected information system entity, the book
elaborates on current mainstream dynamic defense technologies from
four aspects: the internal hardware platform, software service,
information data and external network communication. It also
ascertains their possible evolution routes, clarifies their
relationship with existing security products, and makes macro
analyses and discussions on security gain and overall system
efficiency of these technologies.This book can be used as both a
textbook for graduate courses related to electronic information as
well as a reference for scientific researchers engaged in relevant
research. It helps graduate students majoring in electronics and
information sciences to gain an understanding in
dynamically-enabled cyber defense. Scientists and engineers
specialising in network security research should also find this
book to be a useful guide on recent developments in network
security.
Political, social and economic transformations have marked the 20
years since Hong Kong became a Special Administrative Region of
China. To mark the historic handover, the Institute of Advanced
Studies (IAS) at Nanyang Technological University invited experts
from various fields to share their unique insights on the
developments and impact of the last 20 years on Hong Kong and
Singapore in a conference in Singapore.This volume is a compilation
of speeches and presentations delivered at the conference by such
heavyweight experts as Wang Gungwu, Antony Leung and Yang Jinlin on
the road travelled and the paths ahead for both cities. This volume
is an invaluable collection on Hong Kong and Singapore's past,
present and future. Readers can enjoy the salient analysis
delivered with great thought and reflective humour.
This book presents a detailed review of the state of the art in
deep learning approaches for semantic object detection and
segmentation in medical image computing, and large-scale radiology
database mining. A particular focus is placed on the application of
convolutional neural networks, with the theory supported by
practical examples. Features: highlights how the use of deep neural
networks can address new questions and protocols, as well as
improve upon existing challenges in medical image computing;
discusses the insightful research experience of Dr. Ronald M.
Summers; presents a comprehensive review of the latest research and
literature; describes a range of different methods that make use of
deep learning for object or landmark detection tasks in 2D and 3D
medical imaging; examines a varied selection of techniques for
semantic segmentation using deep learning principles in medical
imaging; introduces a novel approach to interleaved text and image
deep mining on a large-scale radiology image database.
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