A Robust Deep Learning and Feature Fusion-based Multi-class Classification of Cervical Cells
Author:
Affiliation:
1. Dr. A.P.J. Abdul Kalam Technical University,Centre for Advanced Studies,Lucknow,U.P.,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9935819/9936051/09936276.pdf?arnumber=9936276
Reference28 articles.
1. Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics
2. Searching for cell signatures in multidimensional feature spaces;silva;Int J Biomed Eng Technol,2020
3. An Ensemble Machine Learning Method for Single and Clustered Cervical Cell Classification
4. A comprehensive study on the multi-class cervical cancer diagnostic prediction on pap smear images using a fusion-based decision from ensemble deep convolutional neural network
5. Deep Feature Extraction for Pap-Smear Image Classification
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1. Deep Learning Approaches for Analysing Papsmear Images to Detect Cervical Cancer;Wireless Personal Communications;2024-03
2. Deep integrated fusion of local and global features for cervical cell classification;Computers in Biology and Medicine;2024-03
3. A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis;Artificial Intelligence Review;2023-10-05
4. CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework;Computer Methods and Programs in Biomedicine;2023-10
5. A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis;ARTIF INTELL REV;2023
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