AIMC Topic: Diagnostic Imaging
Clear Filters Showing 951 to 960 of 978 articles
Simulation and Synthesis in Medical Imaging.
IEEE transactions on medical imaging
Mar 1, 2018
This editorial introduces the Special Issue on Simulation and Synthesis in Medical Imaging. In this editorial, we define so-far ambiguous terms of simulation and synthesis in medical imaging. We also briefly discuss the synergistic importance of mech...
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.
Cell
Feb 22, 2018
The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common t...
Deep learning for biology.
Nature
Feb 22, 2018
Comparison of medical image classification accuracy among three machine learning methods.
Journal of X-ray science and technology
Jan 1, 2018
BACKGROUND: Low-quality medical images may influence the accuracy of the machine learning process.
[Not Available].
Praxis
Jan 1, 2018
Atypical hemangioma mimicking mixed hepatocellular cholangiocarcinoma: Case report.
Medicine
Dec 1, 2017
RATIONALE: Hemangioma of the liver is a benign hepatic tumor, more common in women than in men, which is typically asymptomatic, solitary, and incidentally discovered. Atypical hemangioma is a variant of hepatic hemangioma with atypical imaging findi...
When Machines Think: Radiology's Next Frontier.
Radiology
Dec 1, 2017
Artificial intelligence (AI), machine learning, and deep learning are terms now seen frequently, all of which refer to computer algorithms that change as they are exposed to more data. Many of these algorithms are surprisingly good at recognizing obj...
Machine Learning Approaches in Cardiovascular Imaging.
Circulation. Cardiovascular imaging
Oct 1, 2017
Cardiovascular imaging technologies continue to increase in their capacity to capture and store large quantities of data. Modern computational methods, developed in the field of machine learning, offer new approaches to leveraging the growing volume ...
Machine Learning Interface for Medical Image Analysis.
Journal of digital imaging
Oct 1, 2017
TensorFlow is a second-generation open-source machine learning software library with a built-in framework for implementing neural networks in wide variety of perceptual tasks. Although TensorFlow usage is well established with computer vision dataset...
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