An efficient hybrid artificial intelligence framework for lung cancer classification using CT images
L. Kamala, K. G. Mohan · 2025
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Description
Kamala and Mohan fuse classic image features with deep learning features to sort lung CT scans, in work from twenty twenty-five. Lung cancer kills more people than any other cancer, and early spotting lifts survival. CT scans show fine detail, but reading them by hand is slow and error prone.
Scans from an Iraqi cancer hospital set were classed as normal, benign, or malignant. Texture and shape features from classic methods were merged with features from two image networks. Six mixes were tested head to head. The mix of both classic feature types with a mobile friendly network scored best on all measures. The authors say the hybrid beats prior methods and suits live use.
Catalog record
| CREATOR | L. Kamala, K. G. Mohan |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |