Work

Figure S3 from Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

Year: 2023

Type: other

Abstract: Performance Deep Learning Biomarkers with Increase in Number of Time-points. AUC values were evaluated on an independent test set from the deep learning models for one-year survival, distant metastasis, progression and locoregional recurrence (LRR)-free status. Values were significantly separated with the Wilcoxon rank-sums test (p < 0.05) in Dataset A, the definitive radiation therapy cohort with the input of the pre-treatment scan along with the addition of one, two or three follow-up scans at one, three and six months follow-up.

DOI: 10.1158/1078-0432.22470486

Authors: Yiwen Xu, Ahmed Hosny, Roman Zeleznik, Chintan Parmar, Thibaud Coroller, Idalid Franco, Raymond H. Mak, Hugo J.W.L. Aerts

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W4361934030

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