Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

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

Clinical Cancer Research · 2019 · 599 citations · 35 references

DOIFull text

Open access

Abstract

We demonstrate that deep learning can integrate imaging scans at multiple timepoints to improve clinical outcome predictions. AI-based noninvasive radiomics biomarkers can have a significant impact in the clinic given their low cost and minimal requirements for human input.

References

35