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Deep Learning for Biomedical Image Reconstruction
Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications.The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including X-ray, CT, MRI and others.Real-world examples demonstrate an interdisciplinary approach to medical image reconstruction processes, featuring numerous imaging applications.Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers.This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics.
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Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications.This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.
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Teachers Learning : Professional Development and Education
A collaborative series with the University of Cambridge Faculty of Education highlighting leading-edge research across Teacher Education, International Education Reform and Language Education. Teachers Learning focuses on continuing teacher's professional development through accounts of recent enquiries.From presenting evidence and arguments about the teacher's role and profession, knowledge and knowledge creation, other organisations in the educational landscape, issues of power, status and development, this book highlights the crucial importance and effectiveness of teachers' learning benefitting pupils and classroom learning.
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Advances in Deep Learning for Medical Image Analysis
This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time.It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology.The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.
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How does the taste of burnt self-development image?
The taste of burnt self-development can be bitter and unpleasant. It may leave a lingering sense of failure and disappointment, as if one's efforts to grow and improve have been thwarted. However, it can also be a learning experience, providing an opportunity to reflect on what went wrong and how to avoid making the same mistakes in the future. Ultimately, the taste of burnt self-development can be a catalyst for resilience and renewed determination to continue on the path of personal growth.
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How does growth progress?
Growth progresses through a series of stages, starting from infancy and continuing through childhood, adolescence, and adulthood. During these stages, individuals experience physical, cognitive, emotional, and social development. Factors such as genetics, environment, nutrition, and experiences all play a role in shaping an individual's growth trajectory. As individuals grow, they acquire new skills, knowledge, and perspectives that contribute to their overall development and well-being.
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How does language development progress?
Language development progresses in stages, starting with cooing and babbling in infancy, then moving on to single words, two-word phrases, and eventually more complex sentences. Children learn language through exposure to spoken language, imitation, and reinforcement from caregivers. As they grow, they continue to expand their vocabulary, grammar, and communication skills through interactions with others and practice in various social contexts. Language development is a gradual process that is influenced by both biological factors and environmental experiences.
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How does human development progress?
Human development progresses through a series of stages that are influenced by both biological and environmental factors. These stages include physical, cognitive, emotional, and social development. As individuals grow and mature, they acquire new skills, knowledge, and experiences that shape their understanding of the world and their place in it. Development is a lifelong process that continues from infancy through adulthood and is influenced by a combination of genetics, environment, and personal experiences.
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Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learning approaches used for the segmentation of brain tumors.The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to illustrate brain tumor segmentation.After introducing basic concepts of deep learning-based brain tumor segmentation, sections cover techniques for modeling, segmentation and properties.A focus is placed on the application of different types of convolutional neural networks, like single path, multi path, fully convolutional network, cascade convolutional neural networks, Long Short-Term Memory - Recurrent Neural Network and Gated Recurrent Units, and more. The book also highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in brain tumor segmentation.
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Interactive Cases in Emergency Medicine : Learning Through Image Interpretation
This innovative book is based on real patients seen in the emergency department of a busy London teaching hospital.Developed from a project designed to offer an online alternative to in person learning during the COVID-19 pandemic, the material will appeal to readers and educators seeking digital content to supplement traditional print-based learning resources.Sixty-five high-yield cases are illustrated with a variety of static images, including clinical photographs, x-rays and scans, blood films and ECG traces, coupled with integrated imaging videos to enhance understanding.Knowledge is tested via best of five questions, reflecting the format of qualifying examinations, while extensive answers provide further opportunities for learning and revision.. Key Features:Challenging real life cases coupled with imaging videos as well as static images, optimized for mobile viewingScenarios that appeal to both the novice and experienced doctor in the ED and allied specialtiesComprehensive coverage across a range of speciality areas reflecting the case-load of acute and emergency hospital settings through which doctors in training rotateMeets increasing expectations that non-radiologists are required to interpret and act upon imaging resultsIdeal as a revision aid for those in preparation for FRCEM and equivalent international examinations in emergency medicineReflecting both common and more complex clinical scenarios, the content will teach and challenge its readers, from the newly qualified junior doctor to more experienced clinicians and allied health personnel working in emergency and acute settings.
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Interactive Cases in Emergency Medicine : Learning Through Image Interpretation
This innovative book is based on real patients seen in the emergency department of a busy London teaching hospital.Developed from a project designed to offer an online alternative to in person learning during the COVID-19 pandemic, the material will appeal to readers and educators seeking digital content to supplement traditional print-based learning resources.Sixty-five high-yield cases are illustrated with a variety of static images, including clinical photographs, x-rays and scans, blood films and ECG traces, coupled with integrated imaging videos to enhance understanding.Knowledge is tested via best of five questions, reflecting the format of qualifying examinations, while extensive answers provide further opportunities for learning and revision.. Key Features:Challenging real life cases coupled with imaging videos as well as static images, optimized for mobile viewingScenarios that appeal to both the novice and experienced doctor in the ED and allied specialtiesComprehensive coverage across a range of speciality areas reflecting the case-load of acute and emergency hospital settings through which doctors in training rotateMeets increasing expectations that non-radiologists are required to interpret and act upon imaging resultsIdeal as a revision aid for those in preparation for FRCEM and equivalent international examinations in emergency medicineReflecting both common and more complex clinical scenarios, the content will teach and challenge its readers, from the newly qualified junior doctor to more experienced clinicians and allied health personnel working in emergency and acute settings.
Price: 29.99 £ | Shipping*: 0.00 £
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How does sensory development progress?
Sensory development progresses through a series of stages, beginning with basic sensory experiences such as touch, taste, and smell in infancy. As children grow, they develop more refined sensory abilities, such as improved vision and hearing, and begin to integrate sensory information to make sense of their environment. This process continues into adolescence and adulthood, with individuals becoming more adept at interpreting and responding to sensory stimuli. Overall, sensory development progresses from basic sensory experiences to more complex and integrated sensory abilities as individuals mature.
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How can one conduct an image observation, image analysis, and image interpretation?
To conduct an image observation, one must carefully examine the image, noting details such as colors, shapes, textures, and patterns. Image analysis involves breaking down the image into its components and identifying relationships between them. This can include identifying the subject, composition, and any symbolism present in the image. Finally, image interpretation involves making meaning out of the observations and analysis, considering the context in which the image was created and the emotions or messages it may convey.
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How does the growth progress?
The growth progress is a gradual and continuous process that involves an increase in size, development, and maturity. It can be observed in various aspects of life, such as physical, emotional, intellectual, and professional growth. This progress is often influenced by factors such as genetics, environment, nutrition, and experiences. As individuals age, they go through different stages of growth, each with its own set of milestones and challenges. Overall, growth progress is a dynamic and ongoing journey that shapes individuals into who they are.
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How does beard growth progress?
Beard growth progresses in stages, starting with the initial growth phase where hair follicles become active and start producing hair. This is followed by the transitional phase where the hair becomes thicker and more visible. Finally, the mature phase is reached where the beard reaches its full potential in terms of length and thickness. The rate of growth and the overall appearance of the beard can vary depending on genetics, age, and hormonal factors.
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