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Showing 701–745 of 745 papers

TitleStatusHype
Multimodal brain tumor classification—0
Multi-Modal Foundation Models for Computational Pathology: A Survey—0
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis—0
Multimodal Outer Arithmetic Block Dual Fusion of Whole Slide Images and Omics Data for Precision Oncology—0
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study—0
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification—0
Multi-radial LBP Features as a Tool for Rapid Glomerular Detection and Assessment in Whole Slide Histopathology Images—0
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images—0
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification—0
Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology—0
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images—0
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations—0
Multi-Stage Pathological Image Classification using Semantic Segmentation—0
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma—0
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading—0
NACNet: A Histology Context-aware Transformer Graph Convolution Network for Predicting Treatment Response to Neoadjuvant Chemotherapy in Triple Negative Breast Cancer—0
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection—0
Nuclei-Location Based Point Set Registration of Multi-Stained Whole Slide Images—0
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology—0
OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides—0
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting—0
One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer—0
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation—0
Open and reusable deep learning for pathology with WSInfer and QuPath—0
Overcoming Limitations in Artificial Intelligence-based Prostate Cancer Detection through Better Datasets and a Bayesian Approach to Aggregate Panel Predictions—0
Overcoming the limitations of patch-based learning to detect cancer in whole slide images—0
Deep learning-based approach to reveal tumor mutational burden status from whole slide images across multiple cancer types—0
Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence—0
PathAlign: A vision-language model for whole slide images in histopathology—0
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology—0
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification—0
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis—0
Pathology Image Compression with Pre-trained Autoencoders—0
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification—0
Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions—0
PathRWKV: Enabling Whole Slide Prediction with Recurrent-Transformer—0
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images—0
PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics—0
Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on a multi-center Swedish cohort—0
Personalized 2D Binary Patient Codes of Tissue Images and Immunogenomic Data Through Multimodal Self-Supervised Fusion—0
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis—0
Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis—0
PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report Generation—0
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge—0
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