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whole slide images

Papers

Showing 301–350 of 745 papers

TitleStatusHype
Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis—0
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification—0
Quantitative Evaluation of MILs' Reliability For WSIs ClassificationCode0
Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web—0
Efficient Classification of Histopathology Images—0
A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology—0
End-to-end Multi-source Visual Prompt Tuning for Survival Analysis in Whole Slide Images—0
Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on a multi-center Swedish cohort—0
Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities—0
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide imagesCode0
Histo-Diffusion: A Diffusion Super-Resolution Method for Digital Pathology with Comprehensive Quality Assessment—0
Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection—0
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning—0
Whole Slide Image Classification of Salivary Gland Tumours—0
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directions—0
Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images—0
HistoGym: A Reinforcement Learning Environment for Histopathological Image AnalysisCode0
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts—0
Assessment of Cell Nuclei AI Foundation Models in Kidney PathologyCode0
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive ModellingCode0
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image ClassificationCode0
PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators—0
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling—0
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology—0
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images—0
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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