Article

3SGAN: Semisupervised and Multitask GAN for Stain Normalization and Nuclei Segmentation of Histopathological Images

2025-12-01

Abstract excerpt

<h4>Background: </h4> /Objectives: Variations in staining styles—arising from differences in tissue preparation, scanners, and laboratory protocols—severely compromise the robustness of automated cell segmentation algorithms in digital pathology. Moreover, manual nucleus annotation is extremely labor-intensive, leading to a scarcity of large-scale, fully anno-tated datasets for supervised nucleus segmentation. Thi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cd9a9ed7-8844-5c2c-839b-aaff5b182062
DOI: 10.20944/preprints202512.0031.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

3SGAN: Semisupervised and Multitask GAN for Stain Normalization and Nuclei Segmentation of Histopathological ImagesDOI 10.20944/preprints202512.0031.v1Read

SPAGHETTI leverages massive H&E morphological models for phase contrast microscopy images with a generative deep learning approachSemantic proximity Read

Generative modeling of histology tissue reduces human annotation effort for segmentation model developmentSemantic proximity Read

General stain deconvolution of histopathology images with physics-guided deep learningSemantic proximity Read

Versatile Stain Transfer in Histopathology Using a Unified Diffusion FrameworkSemantic proximity Read

ViFIT-assisted Histopathology: From H&E Style Standardization to Virtual Fiber Image TransformationSemantic proximity Read

Deep Learning-Inferred Multiplex ImmunoFluorescence for IHC Image QuantificationSemantic proximity Read

Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes.Semantic proximity Read

A deep learning segmentation strategy that minimizes the amount of manually annotated imagesSemantic proximity Read

CPU-READY DEEP LEARNING APPROACH FOR ROBUST TISSUE REGION SEGMENTATION ACROSS MULTI-COHORT H&E AND IHC-STAINED WHOLE SLIDE IMAGESSemantic proximity Read

CellBinDB: A Large-Scale Multimodal Annotated Dataset for Cell Segmentation with Benchmarking of Universal ModelsSemantic proximity Read

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network CapacitySemantic proximity Read

Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning.Semantic proximity Read