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'Self-taught' AI tool helps to diagnose and predict severity of common lung cancer

A computer program based on data from nearly a half-million tissue images and powered by artificial intelligence can accurately diagnose cases of adenocarcinoma, the most common form of lung cancer, a new study shows. ....

United States , United Kingdom , Bojing Liu , Xinyu Yang , Navneet Natula , Nicolas Coudray , Luis Chiriboga , Aristotelis Tsirigos , Adalberto Claudio Quiros , Andre Moreira , Anna Yeaton , Afreen Karimkhan , Hortense Le , David Moore , Perlmutter Cancer Center , Nature Communications , Grossman School Of Medicine , European Union Horizon , University College London , National Institutes Of Health , Langone Health Perlmutter Cancer Center , United Kingdom Research Council , University Of Glasgow , United States National Cancer Institute , Cancer Genome Atlas , Perlmutter Cancer ,

Coordinate-wise monotonic transformations enable privacy-preserving age estimation with 3D face point cloud

Coordinate-wise monotonic transformations enable privacy-preserving age estimation with 3D face point cloud
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

Xinyu Yang , Jing Dong Jackie Han , Science China Life Sciences , Science China , Coordinate Wise Rank Transformation , Model Indistinguishability , Mean Absolute Error , Science China Press , Professor Jing Dong Jackie Han , Peking University , Coordinate Wise Monotonic Transformations , Science China Life ,