# Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/assessing-pd-l1-expression-in-non-small-cell-lung-cancer-and-predicting/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Panwen Tian,Bingxi He,Wei Mu,Kunqin Liu,Li Liu,Hao Zeng,Yujie Liu,Lili Jiang,Ping Zhou,Zhipei Huang,Di Dong,Weimin Li |
| Citations | 154 |
| DOI | 10.7150/thno.48027 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.7150/thno.48027 |
| OpenAlex ID | https://openalex.org/W3110954991 |
| PMID | 33500713 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Lili Jiang](https://scholariq.org/researchers/lili-jiang/)
- [Yujie Liu](https://scholariq.org/researchers/yujie-liu/)

## Paper primary topic

- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)

## Paper topics

- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.