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Showing 376–400 of 745 papers

TitleStatusHype
Survival Prediction Across Diverse Cancer Types Using Neural Networks—0
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction—0
Switching Loss for Generalized Nucleus Detection in Histopathology—0
Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology—0
The impact of tissue detection on diagnostic artificial intelligence algorithms in digital pathology—0
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines—0
Tissue Artifact Segmentation and Severity Analysis for Automated Diagnosis Using Whole Slide Images—0
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution—0
Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images—0
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach—0
Spectral decoupling allows training transferable neural networks in medical imaging—0
Transformer-based Model for Oral Epithelial Dysplasia Segmentation—0
Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin—0
Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling—0
TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology—0
Tumor segmentation on whole slide images: training or prompting?—0
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
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