VB-SOLO: Single-Stage Instance Segmentation of Overlapping Epithelial Cells

VB-SOLO: Single-Stage Instance Segmentation of Overlapping Epithelial Cells

The instance segmentation of overlapping cells in smear images of epithelial cells is challenging due to the significant overlap and adhesion between the cells’ translucent cytoplasm. In this paper, an improved single-stage instance segmentation network called VoVNet-BiFPN-SOLO (VB-SOLO)...

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Bibliographic Details
Main Authors: Lichuan Li, Wei Chen, Jie Qi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Biomedical imaging
cervical cancer
convolutional neural networks
deep learning
image segmentation
instance segmentation
Online Access:https://ieeexplore.ieee.org/document/10496694/

Internet

https://ieeexplore.ieee.org/document/10496694/

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