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whole slide images
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images
Semi-Automated Quality Assurance in Digital Pathology: Tile Classification Approach
Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning
PixCell: A generative foundation model for digital histopathology images
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification
PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset
DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification
Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology
IRS: Incremental Relationship-guided Segmentation for Digital Pathology
Automated Quality Evaluation of Cervical Cytopathology Whole Slide Images Based on Content Analysis
Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization
Histo-Miner: Deep Learning based Tissue Features Extraction Pipeline from H&E Whole Slide Images of Cutaneous Squamous Cell Carcinoma
Beyond the Monitor: Mixed Reality Visualization and AI for Enhanced Digital Pathology Workflow
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation
A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline
The Iris File Extension
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images
Predicting ulcer in H&E images of inflammatory bowel disease using domain-knowledge-driven graph neural network
A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
Identifying regions of interest in whole slide images of renal cell carcinoma
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
A Novel Approach to Linking Histology Images with DNA Methylation
A Survey of Pathology Foundation Model: Progress and Future Directions
Learned Image Compression and Restoration for Digital Pathology
The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology
MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning
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