Nature

Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease

Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the underlying cause of kidney disease. However, the assessment is qualitative, or semi-quantitative at ...
Nature

Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome

Decreased visual function in astronauts might lead to loss of productivity during missions, thus, close monitoring is of utmost importance. Currently onboard the ISS, astronauts undergo many routine ...
Semiconductor Engineering

Deep Learning Delivers Fast, Accurate Solutions For Object Detection In The Automated Optical Inspection Of Electronic Assemblies

When automated optical inspection (AOI) works, it is almost always preferable to human visual inspection. It can be faster, more accurate, more consistent, less expensive, and it never gets tired.
Visual Studio Magazine

Predicting the Future Using Azure Machine Learning

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
MD&M East

Reducing Defects: Visual Inspection of Medical Parts

Borescopic visual inspection may be appropriate for small parts with areas not visible to the naked eye. Even with all the high-tech testing and inspection techniques in use today, basic visual ...