Titlebook: Advances in Deep Generative Models for Medical Artificial Intelligence; Hazrat Ali,Mubashir Husain Rehmani,Zubair Shah Book 2023 The Edito

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Advanced Deep Learning for Heart Sounds Classification,nd comedy, and officially recognizing the importance of the field. It will be the go-to resource for students and researchers in philosophy, culture, media and communications, English and history and will act as a springboard to introduce the reader to the other key literature inthe field.978-3-031-24685-2

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978-3-031-46343-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Advances in Deep Generative Models for Medical Artificial Intelligence978-3-031-46341-9Series ISSN 1860-949X Series E-ISSN 1860-9503

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https://doi.org/10.1007/978-3-319-22819-8 has the highest rates of GI cancer. Before the onset of symptoms, routine screening for patients at average risk can help with early identification and treatment. The use of automated technologies by doctors is one technique to enhance diagnosis. Convolutional Neural Network (CNN) models have been

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https://doi.org/10.1007/978-3-319-22819-8tion causes dementia, which cannot be treated. Deep learning techniques have quickly become one of the most essential ways to analyse MRI images in recent times. However, they often require a significant amount of data, and medical data is frequently unavailable. The latest discovery in machine lear

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https://doi.org/10.1007/978-3-319-22819-8fitting when training machine learning classifiers. The impact of this imbalance is exacerbated as the severity of the DR stage increases, affecting the classifiers’ diagnostic capacity. The imbalance can be addressed using Generative Adversarial Networks (GANs) to augment the datasets with syntheti