Genitourinary Imaging - A Case Based Approach is a user friendly, portable guide that offers a comprehensive coverage of the subspecialty with an emphasis on all modalities. As subspecialty practice has become the norm in radiology, it becomes increasingly important to keep abreast of the latest information within the specialty that one is practising. The case based nature of this book, with modality independent content, allows the reader to assimilate practice specific information with ease. Full color images with tabular salient points, imaging algorithms and evidence based criterion support the text. Key points provide succinct explanations of the disease and an appropriate differential diagnosis, as well as providing a brief description of therapy and prognosis. Genitourinary Imaging - A Case Based Approach is aimed at residents and training and practicing genitourinary radiologists.
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow Key Features Weave neural networks into linguistic applications across various platforms Perform NLP tasks and train its models using NLTK and TensorFlow Boost your NLP models with strong deep learning architectures such as CNNs and RNNs Book Description Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today’s NLP challenges. To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection. You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library, TensorFlow. By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts. What you will learn Implement semantic embedding of words to classify and find entities Convert words to vectors by training in order to perform arithmetic operations Train a deep learning model to detect classification of tweets and news Implement a question-answer model with search and RNN models Train models for various text classification datasets using CNN Implement WaveNet a deep generative model for producing a natural-sounding voice Convert voice-to-text and text-to-voice Train a model to convert speech-to-text using DeepSpeech Who this book is for Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques. This comprehensive guide is also useful for deep learning users who want to extend their deep learning skills in building NLP applications. All you need is the basics of machine learning and Python to enjoy the book.
Genitourinary Imaging - A Case Based Approach is a user friendly, portable guide that offers a comprehensive coverage of the subspecialty with an emphasis on all modalities. As subspecialty practice has become the norm in radiology, it becomes increasingly important to keep abreast of the latest information within the specialty that one is practising. The case based nature of this book, with modality independent content, allows the reader to assimilate practice specific information with ease. Full color images with tabular salient points, imaging algorithms and evidence based criterion support the text. Key points provide succinct explanations of the disease and an appropriate differential diagnosis, as well as providing a brief description of therapy and prognosis. Genitourinary Imaging - A Case Based Approach is aimed at residents and training and practicing genitourinary radiologists.
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow Key Features Weave neural networks into linguistic applications across various platforms Perform NLP tasks and train its models using NLTK and TensorFlow Boost your NLP models with strong deep learning architectures such as CNNs and RNNs Book Description Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today’s NLP challenges. To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection. You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library, TensorFlow. By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts. What you will learn Implement semantic embedding of words to classify and find entities Convert words to vectors by training in order to perform arithmetic operations Train a deep learning model to detect classification of tweets and news Implement a question-answer model with search and RNN models Train models for various text classification datasets using CNN Implement WaveNet a deep generative model for producing a natural-sounding voice Convert voice-to-text and text-to-voice Train a model to convert speech-to-text using DeepSpeech Who this book is for Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques. This comprehensive guide is also useful for deep learning users who want to extend their deep learning skills in building NLP applications. All you need is the basics of machine learning and Python to enjoy the book.
Inspector Vikram Dev has dealt with some serious crimes and murders in his career, but nothing comes close to this one – The Octagon Case. An architectural marvel – what happens inside it is a mystery. Back-to-back ruthless murders. Baffling messages. One complex pattern. With his sub-ordinate, Raghav, by his side, Vikram races after the anonymous face but soon loses himself between time and life. Will Vikram pick up the scattered pieces and make his move? Or will the masked killer complete his story? Two parallel lives, but one story. The One Story.
Diabetes mellitus (DM) is the most common metabolic disorder associated with high mortality, which is mostly due to its cardiovascular complications. Diabetic cardiomyopathy (CM) is characterized by abnormal ventricular function in the absence of DM-associated risk factors such as obesity, hypertension, hypercholesterolemia, or coronary artery disease. Oxidative stress plays a pivotal role in the development of diabetic CM, in which chronic hyperglycemia plays a major role. As this develops, the endogenous antioxidant system becomes suppressed and so cannot counter-balance the increased oxidative stress. The metabolic abnormalities of DM cause mitochondrial superoxide overproduction, which further enhances the production of other reactive species, including nitric oxide, hydroxyl radical, hydrogen peroxide and peroxy nitrite, causing aggravation of the myocardial damage. In addition, free-radical-mediated platelet activation in the narrowed arteries culminates in acute myocardial infarction and stroke, indirectly affecting cardiac function. This chapter focuses on various aspects of the oxidative stress induced by reactive species during the pathogenesis of diabetic CM.
Abel Arumugam has been a General Surgeon for about 40 years, working in and around Malaysia. In this book he has chronicled his life’s journey in different chapters. It tells of his failures and successes with honesty and candour. It has been a labour of love that he hopes you will enjoy reading. Reviewes : “Dr. Arumugams’s scalpel is indeed sharp, but not as sharp as his wit, and unlike the unforgiving finality of a surgical “slice”, his slice of humour brings chuckles always, guffaws sometimes, and rarely death threats from the Subject of his jokes. But then…… he has the scalpel for his defence!” Prof Alka Sinha Ganesh Professor of Medicine Christian Medical College, Vellore , India Reading Abel Arumugam’s personal journey in ‘The Scalpel Writes’, one is reminded of Dorothy Springs’s quotation “ Life is like a camera - just focus on what’s important , capture the good times, develop from negatives and if things don’t work out just take another shot”. Abel is jovial, carefree and fun loving and his focus in life is his family, numerous close friends and his surgical career. The ‘snap shots’ capture the good times in all these and his narratives are portrayed in fun, immense love and with enthusiasm. No mention of any negatives to develop from and he does not say what he did if things did not work out – I suppose, as usual, he just ordered another shot!! Dr Preman Jeyaratnam Consultant Anaesthetist Stoke on Trent United Kingdom
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