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Mitosis Detection
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Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies
Evaluation of the mitotic score of invasive breast carcinomas on digital slide: development and contribution of a mitosis detection algorithm
Improving mitosis detection on histopathology images using large vision-language models
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping
A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset
Challenging mitosis detection algorithms: Global labels allow centroid localization
Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures
Multi tasks RetinaNet for mitosis detection
Mitosis domain generalization in histopathology images -- The MIDOG challenge
ReCasNet: Improving consistency within the two-stage mitosis detection framework
Robust Multi-Domain Mitosis Detection
Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation
Deep Learning-based mitosis detection in breast cancer histologic samples
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge
Cascade RCNN for MIDOG Challenge
MitoDet: Simple and robust mitosis detection
Mitosis Detection for Breast Cancer Pathology Images Using UV-Net
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images
Sk-Unet Model with Fourier Domain for Mitosis Detection
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge
Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
Quantifying the Scanner-Induced Domain Gap in Mitosis Detection
Mitosis Detection Under Limited Annotation: A Joint Learning Approach
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNN
Virtual staining for mitosis detection in Breast Histopathology
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Semi-supervised estimation of event temporal length for cell event detection
Joint Multi-frame Detection and Segmentation for Multi-cell Tracking
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
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