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Found 6 papers, 4 papers with code
ParamNet: A Parameter-variable Network for Fast Stain Normalization
The feature of parameter variable ensures that our network has a sufficient capability for various stain normalization tasks.
Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data
Cervical glandular cell (GC) detection is a key step in computer-aided diagnosis for cervical adenocarcinomas screening.
An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features
Digital gigapixel whole slide image (WSI) is widely used in clinical diagnosis, and automated WSI analysis is key for computer-aided diagnosis.
StainNet: a fast and robust stain normalization network
The conventional stain normalization is regarded as constructing a pixel-by-pixel color mapping model, which only depends on one reference image, and can not accurately achieve the style transformation between image datasets.
Reconstruct high-resolution multi-focal plane images from a single 2D wide field image
High-resolution 3D medical images are important for analysis and diagnosis, but axial scanning to acquire them is very time-consuming.
Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization
This article proposes a new framework that normalizes the stain style for cytopathological images through a stain removal module and a multi-stage domain adversarial style reconstruction module.
