# A manta ray-bayesian optimization approach for hyperparameter-tuned convolutional neural networks in lung cancer classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-manta-ray-bayesian-optimization-approach-for-hyperparameter-tuned/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sonali Samal,Shyam Sunder,Thippa Reddy Gadekellu,Fatma Hilal Yağın,Radwa El Shawi,Nada Ahmed |
| Citations | 0 |
| DOI | 10.1038/s41598-026-42506-y |
| Fields | Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-026-42506-y_reference.pdf |
| OpenAlex ID | https://openalex.org/W7134137798 |
| PMID | 41794961 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Thippa Reddy Gadekellu](https://scholariq.org/researchers/thippa-reddy-gadekellu/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [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.