Identify metastatic cancer in small image patches taken from larger digital pathology scans
November 29, 2018, Joni Juvonen
Generating 3D objects is surprisingly hard for generative adversarial networks (GAN) but with the recent relativistic cost functions, I managed to get stable training and relatively good results. With this project, you can train your own model that produces 64 x 64 x 64 3D models.
The resulting 3D models can be 3D printed as nice AI decorations.
3D printing AI-generated objects
July 27, 2018, Joni Juvonen