Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis
Abstract Background Due to the complexity and cost of preparing histopathological slides, deep learning-based methods have been developed to generate high-quality histological images. However, existing approaches primarily focus on spatial domain information, neglecting the periodic information in t...
Saved in:
| Main Authors: | Qifeng Liu, Tao Zhou, Chi Cheng, Jin Ma, Marzia Hoque Tania |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-025-06057-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Frequency Domain-Enhanced Transformer for Nighttime Object Detection
by: Yaru Li, et al.
Published: (2025-06-01) -
Multi-adversarial domain adaptation method based on feature correction
by: Yong ZHANG, et al.
Published: (2024-01-01) -
A sleep staging model based on adversarial domain generalized residual attention network
by: Pengwei Zhang, et al.
Published: (2025-05-01) -
FSDENet: A Frequency and Spatial Domains-Based Detail Enhancement Network for Remote Sensing Semantic Segmentation
by: Jiahao Fu, et al.
Published: (2025-01-01) -
Adversarial Multitask Learning for Domain Adaptation Through Domain Adapter
by: Hidayaturrahman, et al.
Published: (2024-01-01)