[图书][B] Deep learning and convolutional neural networks for medical imaging and clinical informatics
This book is the second edition of a series documenting how deep learning and deep neural
networks are being successfully employed within medical image computing. Looking back to …
networks are being successfully employed within medical image computing. Looking back to …
Deep convolutional neural network in medical image processing
Researchers have started constructing systems that could automatically analyze the medical
images. In the initial phase (starting from 1970 to 1990), image processing was carried out …
images. In the initial phase (starting from 1970 to 1990), image processing was carried out …
[HTML][HTML] An overview of deep learning in medical imaging
A Anaya-Isaza, L Mera-Jiménez… - Informatics in medicine …, 2021 - Elsevier
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …
growth in recent years. The scientific community has focused its attention on DL due to its …
[PDF][PDF] Prospects of deep learning for medical imaging
Machine learning techniques are essential components of medical imaging research.
Recently, a highly flexible machine learning approach known as deep learning has …
Recently, a highly flexible machine learning approach known as deep learning has …
[HTML][HTML] A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities
Artificial Intelligence (AI) solutions have been widely used in healthcare, and recent
developments in deep neural networks have contributed to significant advances in medical …
developments in deep neural networks have contributed to significant advances in medical …
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …
and has achieved remarkable success in many medical imaging applications, thereby …
Deep learning: a breakthrough in medical imaging
Deep learning has attracted great attention in the medical imaging community as a
promising solution for automated, fast and accurate medical image analysis, which is …
promising solution for automated, fast and accurate medical image analysis, which is …
Convolutional neural networks: an overview and application in radiology
R Yamashita, M Nishio, RKG Do, K Togashi - Insights into imaging, 2018 - Springer
Convolutional neural network (CNN), a class of artificial neural networks that has become
dominant in various computer vision tasks, is attracting interest across a variety of domains …
dominant in various computer vision tasks, is attracting interest across a variety of domains …
Going deep in medical image analysis: concepts, methods, challenges, and future directions
Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …
technology has recently attracted so much interest of the Medical Imaging Community that it …
Advances in deep learning-based medical image analysis
Importance. With the booming growth of artificial intelligence (AI), especially the recent
advancements of deep learning, utilizing advanced deep learning-based methods for …
advancements of deep learning, utilizing advanced deep learning-based methods for …