# Optimized ResNet and EfficientNet Architectures for Accurate and Efficient Lung Cancer Detection in CT Scans

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimized-resnet-and-efficientnet-architectures-for-accurate-and-efficient-lung/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rajesh Tulasi,Vijaya Chandra Jadala |
| Citations | 0 |
| DOI | 10.1109/icc-robins64345.2025.11086103 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4413096312 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Vijaya Chandra Jadala](https://scholariq.org/researchers/vijaya-chandra-jadala-2/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.