In image analysis, the shape properties of cells/organelles should be unaffected by image orientation. Conventional autoencoder (AE) methods can be sensitive to orientation. Here, the authors develop an unsupervised AE method that learns robust, orientation-invariant representations.
- James Burgess
- Jeffrey J. Nirschl
- Serena Yeung-Levy
