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Found 4 papers, 2 papers with code
DomainLab: A modular Python package for domain generalization in deep learning
DomainLab is a modular Python package for training user specified neural networks with composable regularization loss terms.
A Continual Learning Approach for Cross-Domain White Blood Cell Classification
Here, we propose a rehearsal-based continual learning approach for class incremental and domain incremental scenarios in white blood cell classification.
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Here, we train a robust CNN for WBC classification by addressing cross-domain data imbalance and domain shifts.
InstantDL-An easy-to-use deep learning pipeline for image segmentation and classification
InstantDL enables researchers with a basic computational background to apply debugged and benchmarked state-of-the-art deep learning algorithms to their own data with minimal effort.
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