Breakup Reorganize Rehearsal

Breakup-Reorganize Rehearsal (BuRo) is a technique primarily used in continual learning, focusing on efficiently updating machine learning models trained on sequential datasets without catastrophic forgetting of previously learned information. Current research emphasizes BuRo's application in analyzing large, hierarchical datasets like whole slide images (WSIs) in medical imaging, often incorporating novel architectures such as Hierarchical Interaction Transformers. The successful implementation of BuRo improves the adaptability and robustness of models in dynamic environments, leading to more accurate and reliable analyses in fields like medical diagnosis and prognosis.