Biomedical imaging and analysis in the age of big data and deep learning [scanning the issue]
Imaging of the human body using a number of different modalities has revolutionized the
field of medicine over the past several decades and continues to grow at a rapid pace. More …
field of medicine over the past several decades and continues to grow at a rapid pace. More …
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors
L Zhou, X Meng, Y Huang, K Kang, J Zhou… - Nature Machine …, 2022 - nature.com
Tremendous efforts have been made to improve diagnosis and treatment of COVID-19, but
knowledge on long-term complications is limited. In particular, a large portion of survivors …
knowledge on long-term complications is limited. In particular, a large portion of survivors …
A study of CNN and transfer learning in medical imaging: Advantages, challenges, future scope
This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …
[HTML][HTML] An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - Zeitschrift für Medizinische Physik, 2019 - Elsevier
What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
[HTML][HTML] Beyond rankings: learning (more) from algorithm validation
Challenges have become the state-of-the-art approach to benchmark image analysis
algorithms in a comparative manner. While the validation on identical data sets was a great …
algorithms in a comparative manner. While the validation on identical data sets was a great …
[PDF][PDF] The role of machine and deep learning in modern medical physics
I El Naqa, S Das - 2020 - deepblue.lib.umich.edu
Artificial intelligence (AI) is thought by some to be the most fundamental transformation in
our lives since the industrial revolution 1 with perhaps its greatest expected impact to be in …
our lives since the industrial revolution 1 with perhaps its greatest expected impact to be in …
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): A detailed review with direction for future research
Since early 2020, the whole world has been facing the deadly and highly contagious
disease named coronavirus disease (COVID-19) and the World Health Organization …
disease named coronavirus disease (COVID-19) and the World Health Organization …
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency
Machine Intelligence (MI) is rapidly becoming an important approach across biomedical
discovery, clinical research, medical diagnostics/devices, and precision medicine. Such …
discovery, clinical research, medical diagnostics/devices, and precision medicine. Such …
Machine Learning and Bias in Medical Imaging: Opportunities and Challenges
Bias in health care has been well documented and results in disparate and worsened
outcomes for at-risk groups. Medical imaging plays a critical role in facilitating patient …
outcomes for at-risk groups. Medical imaging plays a critical role in facilitating patient …
Demystification of AI-driven medical image interpretation: past, present and future
The recent explosion of 'big data'has ushered in a new era of artificial intelligence (AI)
algorithms in every sphere of technological activity, including medicine, and in particular …
algorithms in every sphere of technological activity, including medicine, and in particular …