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Dataset Information

Radiomics Feature Activation Maps as a New Tool for Signature Interpretability.


ABSTRACT:

Introduction

In the field of personalized medicine, radiomics has shown its potential to support treatment decisions. However, the limited feature interpretability hampers its introduction into the clinics. Here, we propose a new methodology to create radiomics feature activation maps, which allows to identify the spatial-anatomical locations responsible for signature activation based on local radiomics. The feasibility of this technique will be studied for histological subtype differentiation (adenocarcinoma versus squamous cell carcinoma) in non-small cell lung cancer (NSCLC) using computed tomography (CT) radiomics.

Materials and methods

Pre-treatment CT scans were collected from a multi-centric Swiss trial (training, n=73, IIIA/N2 NSCLC, SAKK 16/00) and an indepen

SUBMITTER: Vuong D 

PROVIDER: S-EPMC7753181 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature