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 …
[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 …
Artificial intelligence with deep learning in nuclear medicine and radiology
The use of deep learning in medical imaging has increased rapidly over the past few years,
finding applications throughout the entire radiology pipeline, from improved scanner …
finding applications throughout the entire radiology pipeline, from improved scanner …
Deep learning: a primer for radiologists
Deep learning is a class of machine learning methods that are gaining success and
attracting interest in many domains, including computer vision, speech recognition, natural …
attracting interest in many domains, including computer vision, speech recognition, natural …
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 …
[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 …
[图书][B] Deep learning in medical image analysis: challenges and applications
G Lee, H Fujita - 2020 - Springer
Deep learning is at the leading edge of artificial intelligence (AI) and is developing rapidly. In
recent years, it has played an increasingly important role in medical image analysis. Deep …
recent years, it has played an increasingly important role in medical image analysis. Deep …
Hello world deep learning in medical imaging
There is recent popularity in applying machine learning to medical imaging, notably deep
learning, which has achieved state-of-the-art performance in image analysis and …
learning, which has achieved state-of-the-art performance in image analysis and …
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 …
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