Graph perceiver network for lung tumor and bronchial premalignant lesion stratification from histopathology
Bronchial premalignant lesions (PMLs) precede the development of invasive lung squamous carcinoma (LUSC), posing a significant challenge in distinguishing those likely to advance to LUSC from those that might regress without intervention. In this context, we present a novel computational approach, the Graph Perceiver Network (GRAPE-Net), leveraging hematoxylin and eosin (H&E) stained whole slide images (WSIs) to stratify endobronchial biopsies of PMLs across a spectrum from normal to tumor lung tissues.
Source: American Journal of Pathology - Category: Pathology Authors: Rushin H. Gindra, Yi Zheng, Emily J. Green, Mary E. Reid, Sarah A. Mazzilli, Daniel T. Merrick, Eric J. Burks, Vijaya B. Kolachalama, Jennifer E. Beane Tags: Regular Article Source Type: research