Pre-processing matters: A segment search method for WSI classification
<|reference_start|>Pre-processing matters: A segment search method for WSI classification: Pre-processing whole slide images (WSIs) can impact classification performance. Our study shows that using fixed hyper-parameters for pre-processing out-of-domain WSIs can significantly degrade performance. Therefore, it is critical to search domain-specific hyper-parameters during inference. However, searching for an optimal parameter set is time-consuming. To overcome this, we propose SSAPT, a novel Similarity-based Simulated Annealing approach for fast parameter tuning to enhance inference performance on out-of-domain data. The proposed SSAPT achieves 5\% to 50\% improvement in accuracy with $\times5$ times faster parameter searching speed on average.<|reference_end|>
@article{wang2024pre-processing,
    title={Pre-processing matters: A segment search method for WSI classification},
    author={Jun Wang, Yufei Cui, Yu Mao, Nan Guan and Chun Jason Xue},
    journal={arXiv preprint arXiv:2404.11161},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.11161},
    primaryClass={cs.CV cs.LG}
}