Single-cell conventional pap smear image classification using pre-trained deep neural network architectures

Single-cell conventional pap smear image classification using pre-trained deep neural network architectures

Abstract Background Automating cytology-based cervical cancer screening could alleviate the shortage of skilled pathologists in developing countries. Up until now, computer vision experts have attempted numerous semi and fully automated approaches to address the need. Yet, these days, leveraging the...

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Bibliographic Details
Main Authors: Mohammed Aliy Mohammed, Fetulhak Abdurahman, Yodit Abebe Ayalew
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Biomedical Engineering
Subjects:
Deep learning
Image classification
Cervical cancer
Pap smear
CNN
Online Access:https://doi.org/10.1186/s42490-021-00056-6

Internet

https://doi.org/10.1186/s42490-021-00056-6

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