TITLE: BioImageLoader: Easy Handling of Bioimage Datasets for Machine Learning 

ABSTRACT: BioImageLoader (BIL) is a python library that handles bioimage datasets for
machine learning applications, easing simple workflows and enabling complex
ones. BIL attempts to wrap the numerous and varied bioimages datasets in
unified interfaces, to easily concatenate, perform image augmentation, and
batch-load them. By acting at a per experimental dataset level, it enables both
a high level of customization and a comparison across experiments. Here we
present the library and show some application it enables, including retraining
published deep learning architectures and evaluating their versatility in a
leave-one-dataset-out fashion.
BioImageLoader (BIL) is a python library that handles bioimage datasets for
machine learning applications, easing simple workflows and enabling complex
ones. BIL attempts to wrap the numerous and varied bioimages datasets in
unified interfaces, to easily concatenate, perform image augmentation, and
batch-load them. By acting at a per experimental dataset level, it enables both
a high level of customization and a comparison across experiments. Here we
present the library and show some application it enables, including retraining
published deep learning architectures and evaluating their versatility in a
leave-one-dataset-out fashion.
BioImageLoader: Easy Handling of Bioimage Datasets for Machine Learning
http://arxiv.org/abs/2303.02158v1