Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer. Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodules Discusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer type Describes the entire study design on prediction of lung cancer to help readers apply it to their research successfully
The truth is, Partha,' Krishna said, 'that there is no "better" path. Both paths – the path of knowledge and the path of action – work just as well. It is up to you to pick the one that you are suited to.' The Bhagavad Gita is a profound book from India that people have cherished for over 2500 years. It emphasises kindness and understanding when we make mistakes, and tells a compelling story about Prince Arjuna and his friend Krishna. They engage in a crucial conversation about the war against the most powerful and dangerous enemy of all – the one that lives within our minds. Roopa Pai's spirited, one-of-a-kind retelling is engaging, easy to grasp, and leaves a lasting impact. After you finish reading, you'll find yourself contemplating its wisdom and feeling a sense of inner strength.
Come in for a haircut! You choose... We cut!" says the sign outside a hair cutting saloon, so a lion walks in to do just that. But where is everyone? And who are these other lions staring at him?
Little i hops out of the computer to play with her friends but they are too busy. Peeved, she decides to have her own fun -- zapping letters and making them disappear. What follows is complete confusion!
Little i hops out of the computer to play with her friends but they are too busy. Peeved, she decides to have her own fun, zapping letters and making them disappear. What follows is complete confusion!
Most books on fractals focus on deterministic fractals as the impact of incorporating randomness and time is almost absent. Further, most review fractals without explaining what scaling and self-similarity means. This book introduces the idea of scaling, self-similarity, scale-invariance and their role in the dimensional analysis. For the first time, fractals emphasizing mostly on stochastic fractal, and multifractals which evolves with time instead of scale-free self-similarity, are discussed. Moreover, it looks at power laws and dynamic scaling laws in some detail and provides an overview of modern statistical tools for calculating fractal dimension and multifractal spectrum.
This book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem ensuring robustness and accuracy, and provide theoretical analysis for the same. Six different methods for image co-segmentation are presented. These methods use concepts from statistical mode detection, subgraph matching, latent class graph, region growing, graph CNN, conditional encoder–decoder network, meta-learning, conditional variational encoder–decoder, and attention mechanisms. The authors have included several block diagrams and illustrative examples for the ease of readers. This book is a highly useful resource to researchers and academicians not only in the specific area of image co-segmentation but also in related areas of image processing, graph neural networks, statistical learning, and few-shot learning.
This book critically examines the cultural desire for anglicisation of the Indian middle class in the context of postcolonial India. It looks at the history of anglicised self-fashioning as one of the major responses of the Indian middle class to British colonialism. The book explores the rich variety of nineteenth- and twentieth-century writings that document the attempts by the Indian middle class to innovatively interpret their personal histories, their putative racial histories, and the history of India to appropriate the English language and lay claim to an “English” identity. It discusses this unique quest for “Englishness” by reading the works of authors like Michael Madhusudan Dutt, Rabindranath Tagore, Cornelia Sorabji, Nirad C. Chaudhuri, Dom Moraes, and Salman Rushdie. An important intervention, this book will be of interest to scholars and researchers of postcolonial studies, Indian English literature, South Asian studies, cultural studies, and English literature in general.
Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. What You Will Learn Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Who This Book Is For Data scientists and software developers interested in the field of data analytics.
Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer. Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodules Discusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer type Describes the entire study design on prediction of lung cancer to help readers apply it to their research successfully
The mountains hide secrets, which, when you walk through each of them, they start unravelling themselves. The city of Darjeeling took a hit. Murder started the game, but will Murder be able to end it,or it's something totally different. Find out what happens when a stranger comes to town .
This book studies the importance of adopting Green Academia as a systemic long-term counter-intervention strategy against any form of impending pandemics in the post-COVID era and beyond. It argues that anti-nature and capitalistic knowledge systems have contributed to the evolution and growth of COVID-19 across the globe and emphasizes the merits of reinstating nature-based and environment-friendly pedagogical and curricular infrastructures in mainstream educational institutions. The volume also explores possible ways of weaving ecology and the environment as a habitual practice of teaching and learning in an intersectional manner with Science and Technology Studies. With detailed case studies of the green schools in Bhutan and similar practices in India, Kenya, and New Zealand, the book argues for different forms of eco-friendly education systems and the possibilities of expanding these local practices to a global stage. Part of the Academics, Politics and Society in the Post-COVID World series, this book will be an essential read for scholars and researchers of sociology, cultural studies, decolonial studies, education, ecology, public policy social anthropology, sustainable development, sociology of education, and political sociology.
The book paper aims at depicting the magnitude of growth that the Indian Mutual Funds Industry has witnessed in the past two decades with special reference to equity mutual funds schemes.
This book engages with how the Siddis in Gujarat and the South African Indians in South Africa perform different forms of creolized socio-cultural practices in the contemporary era. Since the precolonial times, India and South Africa have developed commercial relations through sharing clothing materials, minerals, precious stones, and spices. Besides exchanging physical objects, varieties of cultures, traditions, and rituals were also exchanged between these countries. With the emergence of colonization in both these countries as Africans were brought to India as slaves and Indians were taken to South Africa as indentured laborers, a lot of objects like musical instruments, plant seeds, cooking utensils, and hand-woven clothes were carried across the Indian Ocean as cultural memories. With the passage of time, the cultural practices of the Indian Diaspora and African Diaspora got intermixed with the native local cultures of South Africa and India, respectively, and gave birth to porous, fluid, multi-rooted, and creolized cultural practices. This book brings forth some of the creolized culinary, spiritual, and musical practices of these communities, and how these performances can expand the archives of creolized cultural practices of Diaspora communities in the Indian Ocean World.
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