Classification of Cervical Precancerous Cell of ThinPrep Images Based on Deep Learning Model AlexNet and InceptionV3
Cervical cancer is one of the deadliest diseases in the world, responsible for the greatest number of fatalities. Around 569.847 new cervical cancer cases are recorded every year. Efforts to prevent this condition can be conducted by early identification. There are several methods to detect cervical...
Published in: | Proceedings - 2022 IEEE 11th International Conference on Communication Systems and Network Technologies, CSNT 2022 |
---|---|
Main Author: | 2-s2.0-85133141911 |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133141911&doi=10.1109%2fCSNT54456.2022.9787658&partnerID=40&md5=dc90da12f1b6f53889929a7b0ccedfed |
Similar Items
-
Crop Pest and Diseases Classification Using ResNet and Inception Network
by: 2-s2.0-85209626774
Published: (2024) -
Evaluation of CNN, alexnet and GoogleNet for fruit recognition
by: 2-s2.0-85051792349
Published: (2018) -
Power Quality Disturbances Classification Analysis Using EfficientNet Architecture
by: Zabidi, et al.
Published: (2024) -
DenseHillNet: a lightweight CNN for accurate classification of natural images
by: 2-s2.0-85194107878
Published: (2024) -
Barriers to cervical cancer screening among immigrant Yemeni women in Malaysia
by: Ba-Alawi, et al.
Published: (2025)