Comprehensive Computational Pathological Image Analysis Predicts Lung Cancer Prognosis.

ABSTRACT:

Introduction

Pathological examination of histopathological slides is a routine clinical procedure for lung cancer diagnosis and prognosis. Although the classification of lung cancer has been updated to become more specific, only a small subset of the total morphological features are taken into consideration. The vast majority of the detailed morphological features of tumor tissues, particularly tumor cells' surrounding microenvironment, are not fully analyzed. The heterogeneity of tumor cells and close interactions between tumor cells and their microenvironments are closely related to tumor development and progression. The goal of this study is to develop morphological feature-based prediction models for the prognosis of patients with lung cancer.

Method

We developed objecti

SUBMITTER: Luo X 

PROVIDER: S-EPMC5462113 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature