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fitushar authored Sep 28, 2024
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# AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets

# Abstract
# Abstract : https://doi.org/10.48550/arXiv.2405.04605

**BACKGROUND:** Lung cancer's high mortality rate can be mitigated by early detection, which is
increasingly reliant on artificial intelligence (AI) for diagnostic imaging. However, the performance of AI
models is contingent upon the datasets used for their training and validation.
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accelerate research, enhance reproducibility, and foster collaborative advancements in medical AI.


### Citation
### Citation Manuscript



```ruby
@article{tushar2024ai,
title={AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets},
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```ruby
Tushar, Fakrul Islam, et al. "AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets." arXiv preprint arXiv:2405.04605 (2024).
```

### Citation Dataset- Duke Lung

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.13799069.svg)](https://doi.org/10.5281/zenodo.13799069)
```ruby
A. Wang, F. I. TUSHAR, M. R. Harowicz, K. J. Lafata, T. D. Tailorand J. Y. Lo, “Duke Lung Cancer Screening Dataset 2024”. Zenodo, Mar. 05, 2024. doi: 10.5281/zenodo.13799069.
```

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