Deep Learning for Medical Applications with Unique Data (eBook, ePUB)

Redaktion: Gupta, Deepak; Balas, Valentina Emilia; Khanna, Ashish; Kose, Utku

• Format: ePub

Produktbeschreibung

Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems.

• Introduces deep learning, demonstrating concepts for a wide variety of medical applications using unique data, excluding research with ready datasets
• Encompasses a wide variety of biomedical applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing and disease diagnosis
• Provides a robust set of methods that will help readers appropriately and judiciously use the most suitable deep learning techniques for their applications

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 256
• Erscheinungstermin: 15. Februar 2022
• Englisch
• ISBN-13: 9780128241462
• Artikelnr.: 63446034

Inhaltsangabe

1. A deep learning approach for the prediction of heart attacks based on
data analysis 2. A comparative study on fully convolutional networks-
FCN-8, FCN-16, and FCN-32: A case of brain tumor 3. Deep learning
applications for disease diagnosis 4. An artificial intelligent cognitive
approach for classification and recognition of white blood cells employing
deep learning for medical applications 5. Deep learning on medical image
analysis on COVID-19 x-ray dataset using an X-Net architecture 6. Early
prediction of heart disease using a deep learning approach 7. Machine
learning and deep learning algorithms in disease prediction: Future trends
for the healthcare system 8. Automatic detection of white matter
hyperintensities via mask region-based convolutional neural networks using
magnetic resonance images 9. Diagnosing glaucoma with optic disk segmenting
and deep learning from color retinal fundus images 10. An artificial
intelligence framework to ensure a trade-off between sanitary and economic
perspectives during the COVID-19 pandemic 11. Prediction of COVID-19 using
machine learning techniques