TelsNet: temporal lesion network embedding in a transformer model to detect cervical cancer through colposcope images
Cervical cancer ranks as the fourth most prevalent malignancy among women globally. Timely identification and intervention in cases of cervical cancer hold the potential for achieving complete remission and cure. In this study, we built a deep learning model based on self-attention mechanism using t...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2023-11-01
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Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
Subjects: | |
Online Access: | http://ijain.org/index.php/IJAIN/article/view/1431 |