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whole slide images

Papers

Showing 651675 of 745 papers

TitleStatusHype
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer HistopathologyCode0
Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern DetectionCode0
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous DataCode0
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide imagesCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide ImagesCode0
GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology ImagesCode0
Gene-induced Multimodal Pre-training for Image-omic ClassificationCode0
Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell TumorsCode0
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image AnalysisCode0
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in HistopathologyCode0
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep LearningCode0
Automatic and explainable grading of meningiomas from histopathology imagesCode0
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer SubtypingCode0
A Unified Framework for Tumor Proliferation Score Prediction in Breast HistopathologyCode0
Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusionCode0
Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer SectionsCode0
Multi-scale fully convolutional neural networks for histopathology image segmentation: from nuclear aberrations to the global tissue architectureCode0
Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor regionCode0
Attention to detail: inter-resolution knowledge distillationCode0
URCDM: Ultra-Resolution Image Synthesis in HistopathologyCode0
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide ImagesCode0
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide ImagesCode0
FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slidesCode0
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide imagesCode0
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