CNNs and Vision Transformers for Pneumonia Detection on the Mooney Chest X-Ray Dataset: A Clean-Split, Calibrated Benchmark with Statistical Testing
We benchmark five ImageNet-pretrained models—ResNet-50, DenseNet-121, EfficientNet-B0, ConvNeXt- Tiny, and ViT-B/16 for pneumonia detection on the Paul Mooney “Chest X-Ray Pneumonia” dataset using a freshly curated, leakage-audited split. A unified Py
Authors
- Arjun Kumar (ORCID: https://orcid.org/0000-0002-5581-6176)
- Seema Malik (ORCID: https://orcid.org/0000-0002-4448-9528)
- Vatsal
- Nishtha Kansal
- Rohit Papnai
Publication Details
- Published
- 2025-08-29
- DOI
- https://doi.org/10.22541/au.175648045.58900145/v1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00