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Showing 501–550 of 745 papers

TitleStatusHype
BACH: Grand Challenge on Breast Cancer Histology Images—0
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education—0
Rapid Artefact Removal and H&E-Stained Tissue Segmentation—0
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images—0
Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images—0
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning—0
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network—0
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images—0
Breast Cancer Molecular Subtypes Prediction on Pathological Images with Discriminative Patch Selecting and Multi-Instance Learning—0
Breast Tumor Cellularity Assessment using Deep Neural Networks—0
C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading—0
CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance—0
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images—0
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers—0
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks—0
Cell Maps Representation For Lung Adenocarcinoma Growth Patterns Classification In Whole Slide Images—0
CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns—0
Characterizing the Interpretability of Attention Maps in Digital Pathology—0
ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide Images—0
CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\&E stained images—0
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach—0
Classification of histopathology images using ConvNets to detect Lupus Nephritis—0
Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture—0
Classifying Whole Slide Images: What Matters?—0
LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening—0
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images—0
CNN Cascades for Segmenting Whole Slide Images of the Kidney—0
Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles—0
Colorectal cancer survival prediction using deep distribution based multiple-instance learning—0
Combination of multiple neural networks using transfer learning and extensive geometric data augmentation for assessing cellularity scores in histopathology images—0
Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'—0
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images—0
Composite Biomarker Image for Advanced Visualization in Histopathology—0
Computational analysis of pathological image enables interpretable prediction for microsatellite instability—0
Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool—0
Computational Pathology for Brain Disorders—0
Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images—0
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images—0
Context-Aware Self-Supervised Learning of Whole Slide Images—0
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images—0
Coupling weak and strong supervision for classification of prostate cancer histopathology images—0
Creating an Atlas of Normal Tissue for Pruning WSI Patching Through Anomaly Detection—0
Creating small but meaningful representations of digital pathology images—0
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images—0
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images—0
Cross-Modal Prototype Allocation: Unsupervised Slide Representation Learning via Patch-Text Contrast in Computational Pathology—0
Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation—0
Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web—0
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