DB-DCAFN: dual-branch deformable cross-attention fusion network for bacterial segmentation

DB-DCAFN: dual-branch deformable cross-attention fusion network for bacterial segmentation

Abstract Sputum smear tests are critical for the diagnosis of respiratory diseases. Automatic segmentation of bacteria from sputum smear images is important for improving diagnostic efficiency. However, this remains a challenging task owing to the high interclass similarity among different categorie...

Full description

Bibliographic Details
Main Authors: Jingkun Wang, Xinyu Ma, Long Cao, Yilin Leng, Zeyi Li, Zihan Cheng, Yuzhu Cao, Xiaoping Huang, Jian Zheng
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Bacterial segmentation
Dual-branch parallel encoder
Deformable cross-attention module
Feature assignment fusion module
Online Access:https://doi.org/10.1186/s42492-023-00141-8

Internet

https://doi.org/10.1186/s42492-023-00141-8

Similar Items