An Improved Nested U-Net Network for Fluorescence In Situ Hybridization Cell Image Segmentation
Fluorescence in situ hybridization (FISH) is a powerful cytogenetic method used to precisely detect and localize nucleic acid sequences. This technique is proving to be an invaluable tool in medical diagnostics and has made significant contributions to biology and the life sciences. However, the num...
Main Authors: | Zini Jian, Tianxiang Song, Zhihui Zhang, Zhao Ai, Heng Zhao, Man Tang, Kan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/3/928 |
Similar Items
-
Residual-Attention UNet++: A Nested Residual-Attention U-Net for Medical Image Segmentation
by: Zan Li, et al.
Published: (2022-07-01) -
A Nested Attention Guided UNet++ Architecture for White Matter Hyperintensity Segmentation
by: Hao Zhang, et al.
Published: (2023-01-01) -
Enhancing 3D Lung Infection Segmentation with 2D U-Shaped Deep Learning Variants
by: Anindya Apriliyanti Pravitasari, et al.
Published: (2023-10-01) -
MAS-UNet: a U-shaped network for prostate segmentation
by: YuQi Hong, et al.
Published: (2023-05-01) -
3D bi-directional transformer U-Net for medical image segmentation
by: Xiyao Fu, et al.
Published: (2023-01-01)