Este libro23.4 x 15.6 cm9.21 x 6.14 in
Enviar a
Quito, Pichincha
Selecciona tu ubicación
Los costos de envío se calcularán en base a esta dirección en todo el sitio.
Los costos de envío se calcularán en base a esta dirección en todo el sitio.
Selecciona tu país
América
Argentina
Brasil
Canadá
Chile
Colombia
Costa Rica
Ecuador
El Salvador
Estados Unidos
México
Perú
República Dominicana
Uruguay
Europa
Alemania
Austria
Bélgica
Croacia
Dinamarca
Eslovaquia
Eslovenia
España
Finlandia
Francia
Grecia
Hungría
Irlanda
Italia
Letonia
Malta
Noruega
Países Bajos
Polonia
Portugal
Reino Unido
República Checa
Serbia
Suecia
Suiza
Resto del mundo
Deep Learning in Medical Image Analysis: Recent Advances and Future Trends (en Inglés)
R. Indrakumari
Deep Learning in Medical Image Analysis: Recent Advances and Future Trends (en Inglés)
R. Indrakumari (Autor) · CRC Press · Tapa Blanda
Quedan más de 100 unidades
$ 92.54Deep Learning in Medical Image Analysis: Recent Advances and Future Trends (en Inglés)
R. Indrakumari
This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book
Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applicationsThis book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.
¿Tienes una pregunta sobre el libro? Inicia sesión para poder agregar tu propia pregunta.