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Showing 326–350 of 745 papers

TitleStatusHype
MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images—0
Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer SubtypingCode0
Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images—0
URCDM: Ultra-Resolution Image Synthesis in HistopathologyCode0
OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides—0
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model—0
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification—0
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image ClassificationCode0
Leveraging image captions for selective whole slide image annotationCode0
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization—0
Characterizing the Interpretability of Attention Maps in Digital Pathology—0
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide ImagesCode0
Unsupervised Latent Stain Adaptation for Computational Pathology—0
PathAlign: A vision-language model for whole slide images in histopathology—0
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images—0
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep LearningCode0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions—0
Improving Quality Control of Whole Slide Images by Explicit Artifact AugmentationCode0
Memory-Efficient Sparse Pyramid Attention Networks for Whole Slide Image Analysis—0
Assessing the risk of recurrence in early-stage breast cancer through H&E stained whole slide images—0
Overcoming Limitations in Artificial Intelligence-based Prostate Cancer Detection through Better Datasets and a Bayesian Approach to Aggregate Panel Predictions—0
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label ClassificationCode0
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