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TitleStatusHype
Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology—0
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images—0
Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset—0
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images—0
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning—0
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions—0
Creating small but meaningful representations of digital pathology images—0
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection—0
A tool for user friendly, cloud based, whole slide image segmentation—0
Coupling weak and strong supervision for classification of prostate cancer histopathology images—0
A Survey on Graph-Based Deep Learning for Computational Histopathology—0
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention—0
A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks—0
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data—0
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images—0
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video—0
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics—0
Context-Aware Self-Supervised Learning of Whole Slide Images—0
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images—0
Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images—0
Computational Pathology for Brain Disorders—0
Assessment of algorithms for mitosis detection in breast cancer histopathology images—0
Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool—0
Computational analysis of pathological image enables interpretable prediction for microsatellite instability—0
Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment—0
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