Compartir
Deep Neural Networks for Multimodal Imaging and Biomedical Applications (en Inglés)
Suresh, Annamalai ; Udendhran, R. ; Vimal, S. (Autor)
·
Medical Information Science Reference
· Tapa Dura
Deep Neural Networks for Multimodal Imaging and Biomedical Applications (en Inglés) - Suresh, Annamalai ; Udendhran, R. ; Vimal, S.
415,72 €
437,61 €
Ahorras: 21,88 €
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Martes 04 de Junio y el
Viernes 21 de Junio.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Deep Neural Networks for Multimodal Imaging and Biomedical Applications (en Inglés)"
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
