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Intelligent Diagnosis of Lung Cancer and Respiratory Diseases presents information about diseases of the respiratory system and the relevant diagnostic imaging techniques. The book focuses on intelligent diagnostic imaging systems. The first section of the book deals with the physiological underpinnings of 3 major diseases that affect the respiratory system: tuberculosis, lung cancer and COVID-19. This section also explains the basic principles of artificial Intelligence that support the diagnosis of these diseases. The next section presents applications of intelligent systems to support the imaging diagnosis of COVID-19 and lung cancer, with emphasis on digital health and telemedicine approaches. Each chapter is organized into a readable format, and is accompanied with detailed bibliographical information for further reading. This book is a reference for everyone seeking to understand how artificial intelligence can provide solutions for diagnostic support systems by processing and analyzing radiological images to improve early diagnosis and, consequently, lung disease prognosis.
Despite success with treatment when diagnosed early, breast cancer is still one of the most fatal forms of cancer for women. Imaging diagnosis is still one of the most efficient ways to detect early breast changes with mammography among the most used techniques. However, there are other techniques that have emerged as alternatives or even complementary tests in the early detection of breast lesions (e.g., breast thermography and electrical impedance tomography). Artificial intelligence can be used to optimize image diagnosis, increasing the reliability of the reports and supporting professionals who do not have enough knowledge or experience to make good diagnoses. Biomedical Computing for B...
This book describes the fauna of the Pernambuco Endemism Center in Brazil's Northern Atlantic Forest, an understudied global biodiversity hotspot. Through fifteen curated chapters, it provides the latest information about the fauna of the northern portion of the Atlantic Forest, gathering important information about the faunal composition of the region for the first time. The chapters address animal biodiversity including terrestrial and aquatic vertebrates (fish, amphibians, reptiles, birds, and mammals) and invertebrates (ants, butterflies, dung beetles, hervestmen, spiders, and termites). All chapters provide species lists, taxonomic aspects and richness analysis. Conservation of specific animal groups is also discussed. Finally, the book discusses human impacts on the forest and its biodiversity, emphasizing the need for conservation of this highly impacted ecosystem.
Kananoja demonstrates how medical interaction in early modern Atlantic Africa was characterised by continuous knowledge exchange between Africans and Europeans.
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