Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA) PDF Download

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Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA)

Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA) PDF Author: E. Zhang
Publisher: Frontiers Media SA
ISBN: 2832543804
Category : Science
Languages : en
Pages : 89

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Book Description
Due to numerous biomedical information sensing devices, such as Computed Tomography (CT), Magnetic Resonance (MR) Imaging, Ultrasound, Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET), to Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy, etc. a large amount of biomedical information was gathered these years. However, identifying how to develop new advanced imaging methods and computational models for efficient data processing, analysis and modelling from the collected data is important for clinical applications and to understand the underlying biological processes. Deep learning approaches have been rapidly developed in recent years, both in terms of methodologies and practical applications. Deep learning techniques provide computational models of multiple processing layers to learn and represent data with multiple levels of abstraction. Deep Learning allows to implicitly capture intricate structures of large-scale data and ideally suited to some of the hardware architectures that are currently available.