Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7784518/7789490/07789662.pdf?arnumber=7789662
Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Cervical cell’s nucleus segmentation through an improved UNet architecture;PLOS ONE;2023-10-03
2. DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
3. A deep learning approach for nucleus segmentation and tumor classification from lung histopathological images;Network Modeling Analysis in Health Informatics and Bioinformatics;2023-05-07
4. Pap-Net: A Patch-Based Multi-Scale Deep Learning Framework for Nucleus Segmentation from Pap Smear Images;Proceedings of International Conference on Data, Electronics and Computing;2023
5. A disector-based framework for the automatic optical fractionator;Journal of Chemical Neuroanatomy;2022-10
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