Pre-processing matters: A segment search method for WSI classification

arXiv:2404.11161v1 Announce Type: new
Abstract: Pre-processing for whole slide images can affect classification performance both in the training and inference stages. Our study analyzes the impact of pre-processing parameters on inference and training across single- and multiple-domain datasets. However, searching for an optimal parameter set is time-consuming. To overcome this, we propose a novel Similarity-based Simulated Annealing approach for fast parameter tuning to enhance inference performance on single-domain data. Our method demonstrates significant performance improvements in accuracy, which raise accuracy …

abstract arxiv classification cs.cv cs.lg datasets domain however images impact inference multiple parameters performance pre-processing processing search searching segment set study training type