A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.
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Looking good isn't everything: Researchers assess AI method for processing medical images
Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...
In today's data-driven healthcare landscape, medical imaging stands at the forefront of diagnosis and treatment planning. From X-rays and MRIs to CT scans and ultrasounds, these images provide crucial ...
Bruker's Acquifer Imaging Machine (IM) is a fully automated widefield microscope with both brightfield and fluorescence imaging capabilities. It is best suited for high-content screening (HCS) and ...
Contrast chemicals injected into people for medical imaging scans are likely contributing to water pollution, a new study ...
The move marks a major milestone in the localisation of critical imaging technologies in the countryThe new facility will focus on the manufacture of flat panel detectors and advanced ...
The amount of data generated in healthcare is scaling at a rapid rate of 47% per year. So, how do you manage all that data and use it to improve patient care? Healthcare organizations today are being ...
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