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Showing 176–200 of 745 papers

TitleStatusHype
Contextual unsupervised deep clustering in digital pathologyCode1
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network—0
Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics—0
PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators—0
A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer—0
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning—0
A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics—0
Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale—0
Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images—0
Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images—0
A Novel Cell Map Representation for Weakly Supervised Prediction of ER and PR Status from H&E WSIs—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
A Novel Approach to Linking Histology Images with DNA Methylation—0
A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective—0
Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities—0
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification—0
Rapid Artefact Removal and H&E-Stained Tissue Segmentation—0
Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education—0
BACH: Grand Challenge on Breast Cancer Histology Images—0
Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image—0
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides—0
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline—0
Semi-Automated Quality Assurance in Digital Pathology: Tile Classification Approach—0
Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas—0
Automatic Multi-Stain Registration of Whole Slide Images in Histopathology—0
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