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Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging
PURPOSE: Tumors are continuously evolving biological systems, and medical imaging is uniquely positioned to monitor changes throughout treatment. While qualitatively tracking lesions over space and time may be trivial, the development of clinically-relevant, automated radiomics methods that incorpor...
Gorde:
| Argitaratua izan da: | Clin Cancer Res |
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| Egile Nagusiak: | , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2019
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6548658/ https://ncbi.nlm.nih.gov/pubmed/31010833 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1078-0432.CCR-18-2495 |
| Etiketak: |
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