Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images.
- DOI
- 10.1007/s12539-025-00691-w
- Published
- 2025 Dec
- Container
- Interdisciplinary sciences, computational life sciences
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12539-025-00691-w,
title = {Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images.},
author = {Pang L and He P and Han Y and Cui H and Feng P and Zhang C and Huang P and Tian S},
year = {2025},
journal = {Interdisciplinary sciences, computational life sciences},
doi = {10.1007/s12539-025-00691-w},
url = {https://doi.org/10.1007/s12539-025-00691-w}
}RIS
TY - JOUR TI - Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images. AU - Pang L AU - He P AU - Han Y AU - Cui H AU - Feng P AU - Zhang C AU - Huang P AU - Tian S PY - 2025 JO - Interdisciplinary sciences, computational life sciences DO - 10.1007/s12539-025-00691-w UR - https://doi.org/10.1007/s12539-025-00691-w ER -
APA
L, P., P, H., Y, H., H, C., P, F., C, Z., P, H., & S, T. (2025). Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images.. Interdisciplinary sciences, computational life sciences. https://doi.org/10.1007/s12539-025-00691-w
Source records
- pubmed · retrieved 2026-09-25T16:29:05.385Z