Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
Abstract The recent advancements in automated lung cancer diagnosis through the application of Convolutional Neural Networks (CNN) on Computed Tomography (CT) scans have marked a significant leap in medical imaging and diagnostics. The precision of these CNN-based classifiers in detecting and analyz...
Gorde:
| Egile Nagusiak: | , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
SpringerOpen
2024-04-01
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| Saila: | Journal of Cloud Computing: Advances, Systems and Applications |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1186/s13677-024-00597-w |
| Etiketak: |
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