Open Access Helper

OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Cervical cell’s nucleus segmentation through an improved UNet architecture
Assad Rasheed, Syed Hamad Shirazi, Arif Iqbal Umar, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0283568-e0283568
Open Access | Times Cited: 9

Showing 9 citing articles:

Force Map-Enhanced Segmentation of a Lightweight Model for the Early Detection of Cervical Cancer
Sabina Umirzakova, Shakhnoza Muksimova, Jushkin Baltayev, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 513-513
Open Access
Decentralized Health: Federated Deep Learning for Cervical Cytology Image Segmentation
N. Rayvanth, Sharanya Shree, Venkata Hemant Kumar Reddy Challa, et al.
Communications in computer and information science (2025), pp. 326-338
Closed Access
Improved CervicalNet: integrating attention mechanisms and graph convolutions for cervical cancer segmentation
K. Abinaya, B. Sivakumar
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
An improved approach for automated cervical cell segmentation with PointRend
Baocan Zhang, Wenfeng Wang, Wei Zhao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Review of cervical cell segmentation
Qian Huang, Wei Zhang, Yulin Chen, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Automatic segmentation and classification of Papanicolaou-stained cells and dataset for oral cancer detection
Maikel Maciel Rönnau, Tatiana Wannmacher Lepper, Igor Cavalcante Guedes, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108967-108967
Closed Access | Times Cited: 1
Segmentation of Overlapping Cells in Cervical Cytology Images: A Survey
Enping Chen, Hua-Nong Ting, Joon Huang Chuah, et al.
IEEE Access (2024) Vol. 12, pp. 114170-114189
Open Access | Times Cited: 1
VMAC: overlapping cervical cell segmentation from label-free quantitative microscopy images
Shreya Adhikary, Ayushman Chakraborty, Sayan Seth, et al.
Multimedia Tools and Applications (2024)
Closed Access
Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology
M. Rodríguez, Claudio Córdova, Isabel Benjumeda, et al.
Computation (2024) Vol. 12, Iss. 12, pp. 232-232
Open Access
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