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Article

A 3D lung lesion variational autoencoder.

Cell reports methods - 26 Feb 2024

Li Yiheng, Sadée Christoph Y, Carrillo-Perez Francisco, Selby Heather M, Thieme Alexander H, Gevaert Olivier

Abstract excerpt

In this study, we develop a 3D beta variational autoencoder (beta-VAE) to advance lung cancer imaging analysis, countering the constraints of conventional radiomics methods. The autoencoder extracts information from public lung computed tomography (CT) datasets without additional labels. It reconstructs 3D lung nodule images with high quality (structural similarity: 0.774, peak signal-to-noise ratio: 26.1, and...

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Identifiers

PMID: 38278157
DOI: 10.1016/j.crmeth.2024.100695
PMCID: PMC10921017

Genes

KRAS

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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