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Medical Informatics - Artificial Intelligence and Deep Learning in Pathology

Description

Book Synopsis: Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, with a team of experts, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Details

Introducing Artificial Intelligence and Deep Learning in Pathology, the ultimate guide to harnessing the power of technology for accurate diagnosis and prognosis. In this groundbreaking book, Dr. Stanley Cohen and his team of experts demystify the world of data mining, machine learning, and AI, bringing this cutting-edge knowledge to pathologists of all levels. With a focus on the field of medicine, particularly pathology, this book takes you on a journey into the fascinating world of AI in healthcare.

With the recent advancements in computational algorithms and whole slide imaging, AI is revolutionizing pattern recognition and image interpretation in pathology. However, many pathologists have limited exposure to these powerful tools. Dr. Cohen's book bridges the gap, providing a comprehensive and accessible resource that unlocks the vast potential of AI for pathology. Say goodbye to complex mathematics - we make it easy for you to understand and apply AI in your daily practice.

Discover the incredible applications of AI in medicine through captivating case studies. From diagnosing skin cancer with photographs to identifying lesions of the retina, using computer vision to interpret electrocardiograms, and detecting cancerous cells with learning algorithms, the possibilities are endless. With Dr. Cohen as your guide, you'll gain the knowledge and skills necessary to utilize AI and deep learning in pathology.

Don't miss your chance to stay ahead of the curve in the rapidly evolving field of healthcare. Take the first step towards revolutionizing your practice by getting your hands on Artificial Intelligence and Deep Learning in Pathology. Trust the experts and unlock the potential of AI for accurate diagnoses and improved patient outcomes.

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