In this paper, we propose an effective shape prior-based segmentation method, called constrained multi-shape evolution, that segments all overlapping cytoplasms in the clump simultaneously by jointly evolving each cytoplasm's shape guided by the modeled shape priors.
Apr 8, 2020 · In this paper, we present a novel and effective shape prior-based approach, called constrained multi-shape evolution, that segments all ...
Apr 15, 2020 · Abstract—Segmenting overlapping cytoplasm of cells in cervi- cal smear images is a clinically essential task, for quantitatively.
Apr 17, 2024 · Segmenting overlapping cytoplasms in cervical smear images is a clinically essential task for quantitatively measuring cell-level features ...
In this paper, we present a novel and effective shape prior-based approach, called constrained multi-shape evolution, that segments all overlapping cytoplasms ...
Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening. https://doi.org/10.1016/j.artmed.2023.102756 ...
Overlapping Cytoplasms Segmentation via Constrained Multi-Shape Evolution for Cervical Cancer Screening · Youyi Song, Ao Zhang, Jinglin Zhou, Yu Luo, Zhizhe ...
Missing: Cytoplasm | Show results with:Cytoplasm
We propose a framework to detect and segment nuclei and segment overlapping cytoplasm in cervical cytology images.
A novel approach for segmenting overlapping cytoplasm of cells in cervical smear images by leveraging the adaptive shape priors extracted from cy toplasm's ...
The present invention relates to a method for segmenting overlapping cytoplasm in a medical image, including: establishing a cytoplasm shape hypothesis set ...