Grappling with the Black Box: Semi-supervised and Unsupervised Learning in Medical Imaging AI #RSNA21 session R4-CIN25 today 12/2 at 1:30PM CST with @KMagudia moderating and presenting along with George Shih, @quantrad & @DrLindaMoy #AI #MachineLearning https://t.co/JSdM6pZlCy
A low resolution photo of punky-looking Zombie that has 3 attributes, a Black Lipstick, a Frown, and a Medical Mask #Text2Cryptopunks #NFTs #NFTcommuity #cryptopunks #aiart #generativeart #MachineLearning https://t.co/Sl1VG6rpHJ
Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu
Sculptures or human organs? These human anatomical specimens have been used as teaching aids by the Medical Faculty of The University of Hong Kong since the 60's. But when shot close-up, in black and white, it can be hard to tell https://wired.trib.al/CYnpzxr : Chan Dick https://t.co/RaJjxvQ0Rn
RT @jeremiahdillon: The coming decades will bring population shrinkage not seen since the Black Death. Good for wages, bad for GDP. https://t.co/IdqRsti8nF