The following publications are possibly variants of this publication:
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- Segmentation of Overlapping Cervical Smear Cells Based on U-Net and Improved Level SetYiming Huang, Hongqing Zhu, Pengyu Wang, Deping Dong. SMC 2019: 3031-3035 [doi]
- Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical SmearsAfaf Tareef, Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng, Mei Chen. iconip 2015: 390-400 [doi]
- Automatic cell nuclei segmentation and classification of cervical Pap smear imagesPin Wang, Lirui Wang, Yongming Li 0003, Qi Song, Shanshan Lv, Xianling Hu. bspc, 48:93-103, 2019. [doi]
- Segmenting overlapping cervical cell in Pap smear imagesYouyi Song, Jie-Zhi Cheng, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang. isbi 2016: 1159-1162 [doi]
- Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour FragmentsYouyi Song, Lei Zhu 0003, Jing Qin 0001, Baiying Lei, Bin Sheng, Kup-Sze Choi. tmi, 38(12):2849-2862, 2019. [doi]
- Corrections to "Accurate Cervical Cell Segmentation From Overlapping Clumps in Pap Smear Images"Youyi Song, Ee-Leng Tan, Xudong Jiang, Jie-Zhi Cheng, Baiying Lei, Tianfu Wang. tmi, 38(6):1543, 2019. [doi]