Fast TILs estimation in lung cancer WSIs based on semi-stochastic patch sampling

arXiv:2405.02913v1 Announce Type: new
Abstract: Addressing the critical need for accurate prognostic biomarkers in cancer treatment, quantifying tumor-infiltrating lymphocytes (TILs) in non-small cell lung cancer (NSCLC) presents considerable challenges. Manual TIL quantification in whole slide images (WSIs) is laborious and subject to variability, potentially undermining patient outcomes. Our study introduces an automated pipeline that utilizes semi-stochastic patch sampling, patch classification to retain prognostically relevant patches, and cell quantification using the HoVer-Net model to streamline the TIL evaluation process. This pipeline …

abstract arxiv cancer cancer treatment challenges cs.cv images lung cancer patient quantification sampling semi small stochastic til treatment type