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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Published in | Physics in medicine & biology Vol. 69; no. 2; pp. 25021 - 25036 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
IOP Publishing
21.01.2024
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Subjects | |
Online Access | Get full text |
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