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Data · dataset · 2025

BM of NSCLC

Listed in Teesside University Research Data Repository

This study utilized data on the 3-year follow-up of patients with non-small cell lung cancer (NSCLC) from January 2018 to January 2021 on the status of brain metastases.

Description

Segmentation was performed by ITK-SNAP, Habitat-based radiomics were extracted from whole-tumor regions of interest (ROIs) that were initially diagnosed with enhanced lung CT from aortic phase CT imaging, and were used to develop predictive models for predicting brain metastases.

This combined model is designed to improve the accuracy of predicting brain metastases in NSCLC.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Cancer 75% · Computed tomography 50% · Imaging 75%
Provenance · 1 source records, 10 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/kpfrhzxyhg.114 h agoJSON v1
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