Batch effects (BEs) refer to systematic technical differences in data
co...
Automating tissue segmentation and tumor detection in histopathology ima...
Making histopathology image classifiers robust to a wide range of real-w...
Automated detection of mitotic figures in histopathology images is a
cha...
Unsupervised learning enables modeling complex images without the need f...
Rotation-invariance is a desired property of machine-learning models for...
We propose a framework for rotation and translation covariant deep learn...
Histological images are obtained by transmitting light through a tissue
...
Preparing and scanning histopathology slides consists of several steps, ...
Convolutional neural networks (CNNs) have been applied to various automa...