Papers Virtual Staining
“Virtual Staining” 태그가 달린 논문 42편 · 필터 해제
USIGAN: Unbalanced Self-Information Feature Transport for Weakly Paired Image IHC Virtual Staining
Immunohistochemical (IHC) virtual staining is a task that generates virtual IHC images from H\&E images while maintaining pathological semantic consistency with adjacent slices. This task aims to achieve cross-domain map…
Virtual StainingGANs vs. Diffusion Models for virtual staining with the HER2match dataset
Virtual staining is a promising technique that uses deep generative models to recreate histological stains, providing a faster and more cost-effective alternative to traditional tissue chemical staining. Specifically for…
Virtual StainingPixCell: A generative foundation model for digital histopathology images
The digitization of histology slides has revolutionized pathology, providing massive datasets for cancer diagnosis and research. Contrastive self-supervised and vision-language models have been shown to effectively mine …
Cell SegmentationData AugmentationImage GenerationPrivacy Preserving+2From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging
Comprehensive assessment of the various aspects of the brain's microstructure requires the use of complementary imaging techniques. This includes measuring the spatial distribution of cell bodies (cytoarchitecture) and n…
Image-to-Image TranslationVirtual StainingImplicitStainer: Data-Efficient Medical Image Translation for Virtual Antibody-based Tissue Staining Using Local Implicit Functions
Hematoxylin and eosin (H&E) staining is a gold standard for microscopic diagnosis in pathology. However, H&E staining does not capture all the diagnostic information that may be needed. To obtain additional molecular inf…
DiagnosticPrognosisTranslationVirtual StainingVLM-based Prompts as the Optimal Assistant for Unpaired Histopathology Virtual Staining
In histopathology, tissue sections are typically stained using common H&E staining or special stains (MAS, PAS, PASM, etc.) to clearly visualize specific tissue structures. The rapid advancement of deep learning offers a…
Data AugmentationVirtual StainingDiffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
Polarization, as a new optical imaging tool, has been explored to assist in the diagnosis of pathology. Moreover, converting the polarimetric Mueller Matrix (MM) to standardized stained images becomes a promising approac…
Virtual StainingA Value Mapping Virtual Staining Framework for Large-scale Histological Imaging
The emergence of virtual staining technology provides a rapid and efficient alternative for researchers in tissue pathology. It enables the utilization of unlabeled microscopic samples to generate virtual replicas of che…
Generative Adversarial NetworkVirtual StainingODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
Recently, virtual staining has emerged as a promising alternative to revolutionize histological staining by digitally generating stains. However, most existing methods suffer from the curse of staining unreality and …
Contrastive LearningGenerative Adversarial NetworkVirtual StainingWeakly-supervised Learning+1Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion
Virtual staining leverages computer-aided techniques to transfer the style of histochemically stained tissue samples to other staining types. In virtual staining of pathological images, maintaining strict structural cons…
DiagnosticDisentanglementPrompt LearningStyle Transfer+1Detecting Hallucinations in Virtual Histology with Neural Precursors
Significant biomedical research and clinical care rely on the histopathologic examination of tissue structure using microscopy of stained tissue. Virtual staining (VS) offers a promising alternative with the potential to…
HallucinationVirtual StainingVirtual Staining of Label-Free Tissue in Imaging Mass Spectrometry
Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial distributions of molecular species in bi…
Image RegistrationSpecificityVirtual StainingSuper-resolved virtual staining of label-free tissue using diffusion models
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based super-r…
Super-ResolutionVirtual StainingSHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion
The multimodal model has demonstrated promise in histopathology. However, most multimodal models are based on H\&E and genomics, adopting increasingly complex yet black-box designs. In our paper, we propose a novel inter…
Dimensionality ReductionVirtual StainingGenerating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color Consistency
Immunohistochemical (IHC) stains play a vital role in a pathologist's analysis of medical images, providing crucial diagnostic information for various diseases. Virtual staining from hematoxylin and eosin (H&E)-stained w…
DiagnosticVirtual Stainingwhole slide imagesLabel-free evaluation of lung and heart transplant biopsies using virtual staining
Organ transplantation serves as the primary therapeutic strategy for end-stage organ failures. However, allograft rejection is a common complication of organ transplantation. Histological assessment is essential for the …
DiagnosticVirtual StainingHistology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection
Histological Tertiary Lymphoid Structures (TLSs) are increasingly recognized for their correlation with the efficacy of immunotherapy in various solid tumors. Traditionally, the identification and characterization of TLS…
SpecificityTransfer LearningVirtual Stainingwhole slide imagesCan virtual staining for high-throughput screening generalize?
The large volume and variety of imaging data from high-throughput screening (HTS) in the pharmaceutical industry present an excellent resource for training virtual staining models. However, the potential of models traine…
Virtual StainingPathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
Conventional hematoxylin-eosin (H&E) staining is limited to revealing cell morphology and distribution, whereas immunohistochemical (IHC) staining provides precise and specific visualization of protein activation at the …
Virtual StainingScalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images
Chemical staining methods are dependable but require extensive time, expensive chemicals, and raise environmental concerns. These challenges highlight the need for alternative solutions like virtual staining, which accel…
DiagnosticVirtual Stainingwhole slide images