An interactive nuclei segmentation framework with Voronoi diagrams and weighted convex difference for cervical cancer pathology images

Objective. Nuclei segmentation is crucial for pathologists to accurately classify and grade cancer. However, this process faces significant challenges, such as the complex background structures in pathological images, the high-density distribution of nuclei, and cell adhesion. Approach. In this pape...

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Bibliographic Details
Published inPhysics in medicine & biology Vol. 69; no. 2; pp. 25021 - 25036
Main Authors Yang, Lin, Lei, Yuanyuan, Huang, Zhenxing, Geng, Mengxiao, Liu, Zhou, Wang, Baijie, Luo, Dehong, Huang, Wenting, Liang, Dong, Pang, Zhifeng, Hu, Zhanli
Format Journal Article
LanguageEnglish
Published England IOP Publishing 21.01.2024
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