TY - BOOK ID - 136443519 TI - Deep Learning in Medical Image Analysis AU - Zhang, Yudong AU - Gorriz, Juan Manuel AU - Dong, Zhengchao PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - interpretable/explainable machine learning KW - image classification KW - image processing KW - machine learning models KW - white box KW - black box KW - cancer prediction KW - deep learning KW - multimodal learning KW - convolutional neural networks KW - autism KW - fMRI KW - texture analysis KW - melanoma KW - glcm matrix KW - machine learning KW - classifiers KW - explainability KW - explainable AI KW - XAI KW - medical imaging KW - diagnosis KW - ARMD KW - change detection KW - unsupervised learning KW - microwave breast imaging KW - image reconstruction KW - tumor detection KW - digital pathology KW - whole slide image processing KW - multiple instance learning KW - deep learning classification KW - HER2 KW - medical images KW - transfer learning KW - optimizers KW - neo-adjuvant treatment KW - tumour cellularity KW - cancer KW - breast cancer KW - diagnostics KW - imaging KW - computation KW - artificial intelligence KW - 3D segmentation KW - active surface KW - discriminant analysis KW - PET imaging KW - medical image analysis KW - brain tumor KW - cervical cancer KW - colon cancer KW - lung cancer KW - computer vision KW - musculoskeletal images KW - lung disease detection KW - taxonomy KW - convolutional neural network KW - CycleGAN KW - data augmentation KW - dermoscopic images KW - domain transfer KW - macroscopic images KW - skin lesion segmentation KW - infection detection KW - COVID-19 KW - X-ray images KW - bayesian inference KW - shifted-scaled dirichlet distribution KW - MCMC KW - gibbs sampling KW - object detection KW - surgical tools KW - open surgery KW - egocentric camera KW - computers in medicine KW - segmentation KW - MRI KW - ECG signal detection KW - portable monitoring devices KW - 1D-convolutional neural network KW - medical image segmentation KW - domain adaptation KW - meta-learning KW - U-Net KW - computed tomography (CT) KW - magnetic resonance imaging (MRI) KW - low-dose KW - sparse-angle KW - quantitative comparison KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:136443519 AB - The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis. ER -