Medical image data and datasets in the era of machine learning—whitepaper from the 2016 C-MIMI meeting dataset session
MD Kohli, RM Summers, JR Geis - Journal of digital imaging, 2017 - Springer
At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in
September 2016, a conference session on medical image data and datasets for machine …
September 2016, a conference session on medical image data and datasets for machine …
[图书][B] Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018 …
This book constitutes the proceedings of the 9th International Workshop on Machine
Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada …
Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada …
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 …
Information processing in medical imaging
ACS Chung, JC Gee, PA Yushkevich… - Information Processing in …, 2019 - repository.ust.hk
This book constitutes the proceedings of the 26th International Conference on Information
Processing in Medical Imaging, IPMI 2019, held at the Hong Kong University of Science and …
Processing in Medical Imaging, IPMI 2019, held at the Hong Kong University of Science and …
Machine learning for medical imaging
Machine learning is a technique for recognizing patterns that can be applied to medical
images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be …
images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be …
[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop
Imaging research laboratories are rapidly creating machine learning systems that achieve
expert human performance using open-source methods and tools. These artificial …
expert human performance using open-source methods and tools. These artificial …
Machine learning for medical imaging: methodological failures and recommendations for the future
G Varoquaux, V Cheplygina - NPJ digital medicine, 2022 - nature.com
Research in computer analysis of medical images bears many promises to improve patients'
health. However, a number of systematic challenges are slowing down the progress of the …
health. However, a number of systematic challenges are slowing down the progress of the …
A systematic collection of medical image datasets for deep learning
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …
that it can achieve human-like performance. However, success always comes with …
[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 …