Adversarial Evaluation of Multi-Organ Lassification in Computational Pathology with CNNS and Foundation Models
In this research, we aim to evaluate the robustness of convolutional neural networks (CNNs) and foundation models, such as ConCH and UNI, in classifying different types of organs from whole-slide images (WSIs) collected from various countries, different scanners, and clinical environments. Despite the dataset's inheren...