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TitleStatusHype
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks—0
WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathologyCode0
Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images—0
Adversary-Robust Graph-Based Learning of WSIs—0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification—0
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading—0
Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study—0
Tumor segmentation on whole slide images: training or prompting?—0
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images—0
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide imagesCode0
A self-supervised framework for learning whole slide representations—0
Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (GOAT) for Whole Slide Histopathology Image Analysis—0
GRASP: GRAph-Structured Pyramidal Whole Slide Image RepresentationCode0
CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images—0
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution—0
Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features—0
Learned Image resizing with efficient training (LRET) facilitates improved performance of large-scale digital histopathology image classification models—0
M^2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction—0
Attention to detail: inter-resolution knowledge distillationCode0
RudolfV: A Foundation Model by Pathologists for Pathologists—0
Analysis and Validation of Image Search Engines in Histopathology—0
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis—0
Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides—0
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