Classification of cervical cell nuclei using morphological segmentation and textural feature extraction
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx2/3167/8985/00396977.pdf?arnumber=396977
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1. Case Study of Image Feature Extraction using Conventional and Deep Learning Methods: Autoencoder and U-Net;2023 9th International Conference on Signal Processing and Communication (ICSC);2023-12-21
2. Image-Based Automatic Human Protein Cell Nuclei Segmentation and Detection for Cancer Diagnosis in Digital Pathology;Lecture Notes in Networks and Systems;2022
3. Inception v3 based cervical cell classification combined with artificially extracted features;Applied Soft Computing;2020-08
4. Automatic segmentation of nuclei from pap smear cell images: A step toward cervical cancer screening;International Journal of Imaging Systems and Technology;2020-06-23
5. Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics;Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2020
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