Layer selection on residual network for feature extraction of pap smear images
Pap smear screening test is one of the early prevention efforts to detect cervical cancer. Manual screening tests are still prone to observation errors. This study aims to create a convolutional neural network (CNN) model and support vector machine (SVM) model to identify cervical cancer through pap...
| Main Authors: | Akbar, Alfian Hamam, Sitanggang, Imas Sukaesih, Agmalaro, Muhammad Asyhar, Haryanto, Toto, Rulaningtyas, Riries, Husin, Nor Azura |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Semarak Ilmu Publishing
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/105687/ http://psasir.upm.edu.my/id/eprint/105687/1/ARASETV36_N2_P56_66.pdf |
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