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Showing 551–600 of 745 papers

TitleStatusHype
Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology—0
UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in Histopathology—0
Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (GOAT) for Whole Slide Histopathology Image Analysis—0
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression—0
Unsupervised Artifact Detection for Whole Slide Images of Prostate Biopsies—0
Unsupervised Latent Stain Adaptation for Computational Pathology—0
Unsupervised Learning of Deep-Learned Features from Breast Cancer Images—0
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification—0
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies—0
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression—0
UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift—0
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology—0
Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer—0
Visual attention analysis of pathologists examining whole slide images of Prostate cancer—0
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer—0
Weakly supervised training of pixel resolution segmentation models on whole slide images—0
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need—0
Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs—0
What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning—0
When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology—0
Whole Slide Image Classification of Salivary Gland Tumours—0
Whole-Slide Image Focus Quality: Automatic Assessment and Impact on AI Cancer Detection—0
Whole slide image registration for the study of tumor heterogeneity—0
Comparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis—0
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks—0
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems—0
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression—0
WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image—0
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval—0
Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Images—0
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection—0
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H&E-stained slides—0
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation—0
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image—0
M^2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction—0
Machine learning identification of maternal inflammatory response and histologic choroamnionitis from placental membrane whole slide images—0
Masked Attention as a Mechanism for Improving Interpretability of Vision Transformers—0
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model—0
Memory-Efficient Sparse Pyramid Attention Networks for Whole Slide Image Analysis—0
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images—0
MicroMIL: Graph-based Contextual Multiple Instance Learning for Patient Diagnosis Using Microscopy Images—0
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches—0
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images—0
MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning—0
Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images—0
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification—0
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology—0
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images AnalysisCode0
Leveraging image captions for selective whole slide image annotationCode0
Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H\&E Whole Slide ImagesCode0
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