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- 1 ressource en ligne (1148 pages)

Poumons - Maladies - Diagnostic ; Poumons - Maladies - Pathologie ; Poumons - Maladies - Physiopathologie

Covering both common and rare neoplastic and nonneoplastic diseases of the lung and pleura, this book is an essential foundation text for pathologists. This volume reflects recent advances in the field, while retaining the easy-to-use template format for quick retrieval of information. Contributions from internationally recognized lung pathologists keep you up to date with the latest information in pathology and pulmonary medicine

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Poumons - Maladies - Diagnostic

"Part of the in-depth and practical Pattern Recognition series, Practical Pulmonary Pathology, 4th Edition, helps you arrive at an accurate diagnosis by using a pattern-based approach. Leading diagnosticians in pulmonary pathology offer practical assistance in identifying all major neoplastic and non-neoplastic diseases of the lungs, guiding you from a pathological pattern through the appropriate work-up, around the pitfalls, and to the best diagnosis. More than 1,000 high-quality illustrations capture key morphologic patterns for a full range of common and rare conditions and assist in the interpretation of complex diagnostic puzzles. A unique “visual index” at the beginning of the book directs you to the exact chapter and specific page you need for in-depth diagnostic guidance." --Résumé de l'éditeur

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Poumons - Radiographie ; Poumons - Maladies - Diagnostic ; Tomographie ; Intelligence artificielle

Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease development, including application to clinical medicine. It provides a unique overview of the field, beginning with a review of the origins of artificial intelligence in the mid-1970s and progressing to its application to clinical medicine in the early 2020s. Organized based on the four stages of development, this practical, easy-to-use resource helps you effectively apply artificial intelligences to lung imaging.

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