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TitleStatusHype
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction—0
Multi-head Attention-based Deep Multiple Instance LearningCode1
MedIAnomaly: A comparative study of anomaly detection in medical imagesCode2
Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture—0
Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning—0
Decoding the visual attention of pathologists to reveal their level of expertise—0
Towards Large-Scale Training of Pathology Foundation ModelsCode2
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
Adversary-Robust Graph-Based Learning of WSIs—0
Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images—0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification—0
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide ImagesCode1
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide imagesCode1
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology ImagesCode1
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image AnalysisCode2
Accurate Spatial Gene Expression Prediction by integrating Multi-resolution featuresCode1
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational PathologyCode2
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space ModelsCode1
C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading—0
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context InteractionCode2
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
TIAViz: A Browser-based Visualization Tool for Computational Pathology ModelsCode4
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
Tissue Cross-Section and Pen Marking Segmentation in Whole Slide ImagesCode1
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
Low-resource finetuning of foundation models beats state-of-the-art in histopathologyCode2
RudolfV: A Foundation Model by Pathologists for Pathologists—0
Analysis and Validation of Image Search Engines in HistopathologyCode0
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival PredictionCode2
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
Tissue Artifact Segmentation and Severity Analysis for Automated Diagnosis Using Whole Slide Images—0
Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide ImagesCode0
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interactionCode1
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational PathologyCode1
On the calibration of neural networks for histological slide-level classificationCode0
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics—0
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