Pap Smear Image Classification for Cervical Cancer Prediction with Transfer Learning on ResNet101 Architecture
Early detection of cervical cancer remains a pivotal strategy to improve clinical outcomes and mitigate mortality associated with this disease. This study introduces a robust deep learning framework employing the ResNet101 architecture to facilitate the automated classification of cervical cell imag...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Politeknik Negeri Batam
2025-10-01
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| Saila: | Journal of Applied Informatics and Computing |
| Sarrera elektronikoa: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/10343 |
| Etiketak: |
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