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Virtual Staining
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Virtual staining uses computational techniques to simulate traditional staining (like H&E) on histopathology images, enhancing tissue features digitally without physical dyes. It offers faster, cost-effective, and non-invasive analysis for pathology.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GANs vs. Diffusion Models for virtual staining with the HER2match dataset
PixCell: A generative foundation model for digital histopathology images
From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging
ImplicitStainer: Data-Efficient Medical Image Translation for Virtual Antibody-based Tissue Staining Using Local Implicit Functions
VLM-based Prompts as the Optimal Assistant for Unpaired Histopathology Virtual Staining
Diffusion-based Virtual Staining from Polarimetric Mueller Matrix Imaging
A Value Mapping Virtual Staining Framework for Large-scale Histological Imaging
Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted Inversion
Detecting Hallucinations in Virtual Histology with Neural Precursors
Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry
Super-resolved virtual staining of label-free tissue using diffusion models
SHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion
Generating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color Consistency
Label-free evaluation of lung and heart transplant biopsies using virtual staining
Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection
Can virtual staining for high-throughput screening generalize?
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images
Single color digital H&E staining with In-and-Out Net
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
AGMDT: Virtual Staining of Renal Histology Images with Adjacency-Guided Multi-Domain Transfer
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon
Virtual histological staining of unlabeled autopsy tissue
Multi-Channel Feature Extraction for Virtual Histological Staining of Photon Absorption Remote Sensing Images
Automated Whole Slide Imaging for Label-Free Histology using Photon Absorption Remote Sensing Microscopy
ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology
Deep Learning-enabled Virtual Histological Staining of Biological Samples
HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks
Virtual stain transfer in histology via cascaded deep neural networks
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Virtual staining for mitosis detection in Breast Histopathology
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Global Pixel Transformers for Virtual Staining of Microscopy Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.