Titlebook: Data Driven Approaches on Medical Imaging; Bin Zheng,Stefan Andrei,Kishor Datta Gupta Book 2023 The Editor(s) (if applicable) and The Auth

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Automl Systems for Medical Imaging, human expertise and computerized systems can result in improved diagnostic accuracy. An automated machine learning approach simplifies the creation of custom image recognition models by utilizing neural architecture search and transfer learning techniques. Medical imaging techniques are used to non

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Online Learning for X-Ray, CT or MRI,maging (MRI) are a few examples of medical imaging. Most of the time, these imaging techniques are utilized to examine and diagnose diseases. Medical professionals identify the problem after analyzing the images. However, manual identification can be challenging because the human eye is not always a

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Invariant Scattering Transform for Medical Imaging,mputation using Convolutional Neural Networks (CNN) to capture patterns’ scale and orientation in the input signal. IST aims to be invariant to transformations that are common in medical images, such as translation, rotation, scaling, and deformation, used to improve the performance in medical imagi

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Generative Adversarial Networks for Data Augmentation,ata augmentation. GANs work by employing a generator network to create new data samples that are then assessed by a discriminator network to determine their similarity to real samples. The discriminator network is taught to differentiate between actual and synthetic samples, while the generator syst

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