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"An essential part of the clinical imaging pipeline is image reconstruction, which transforms the raw data coming off the scanner into images for radiologists to evaluate," says Bo Zhu, PhD, a research fellow in the MGH Martinos Center and first author of the Nature paper. "The conventional approach to image reconstruction uses a chain of handcrafted signal processing modules that require expert manual parameter tuning and often are unable to handle imperfections of the raw data, such as noise. We introduce a new paradigm in which the correct image reconstruction algorithm is automatically determined by deep learning artificial intelligence.
"With AUTOMAP, we've taught imaging systems to 'see' the way humans learn to see after birth, not through directly programming the brain but by promoting neural connections to adapt organically through repeated training on real-world examples," Zhu explains. "This approach allows our imaging systems to automatically find the best computational strategies to produce clear, accurate images in a wide variety of imaging scenarios."
Source: New artificial intelligence technique dramatically improves the quality of medical imaging
(Score: 2) by takyon on Saturday March 24 2018, @09:53PM (1 child)
Artificial intelligence can diagnose prostate cancer as well as a pathologist [sciencebusiness.net]
AI Cancer Detection Startup Nucleai Raises $5 Million [calcalistech.com]
Doctors could soon spend less time looking at mammograms, thanks to artificial intelligence [researchgate.net] (too much tits)
Gotta send in-debt specialists into the bread line.
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]
(Score: 2) by RS3 on Sunday March 25 2018, @12:43AM
It's okay bot takyon, we know everything here is AI. Many of us are AI too. New game for you AI: Spot the Meatbag!