Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei

Research article (2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017) · cited 70× · AI/ML
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Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei

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Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei is a scholarly article[1].

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  • Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-fully-convolutional-networks-and-graph-based-approach-for-automated-segmentation-of-cervical-cell-nuclei
MLA “Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-fully-convolutional-networks-and-graph-based-approach-for-automated-segmentation-of-cervical-cell-nuclei.
BibTeX @misc{4ortxyz_combining-fully-convolutional-networks-and-graph-based-approach-for-automated-segmentation-of-cervical-cell-nuclei_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei}}, year = {2026}, url = {https://4ort.xyz/entity/combining-fully-convolutional-networks-and-graph-based-approach-for-automated-segmentation-of-cervical-cell-nuclei}, note = {Accessed: 2026-05-24}}
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