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Mitosis Detection

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Showing 1–47 of 47 papers

TitleStatusHype
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image AnalysisCode1
Quantifying the Scanner-Induced Domain Gap in Mitosis DetectionCode1
A Unified Framework for Tumor Proliferation Score Prediction in Breast HistopathologyCode0
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide ImagesCode0
Spatial-Temporal Mitosis Detection in Phase-Contrast Microscopy via Likelihood Map Estimation by 3DCNNCode0
Improving Mitosis Detection Via UNet-based Adversarial Domain HomogenizerCode0
ReCasNet: Improving consistency within the two-stage mitosis detection frameworkCode0
Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographsCode0
Rethinking Mitosis Detection: Towards Diverse Data and Feature RepresentationCode0
A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branchCode0
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology imagesCode0
Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order FlippingCode0
Inferring the ground truth through crowdsourcing—0
Joint Multi-frame Detection and Segmentation for Multi-cell Tracking—0
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection—0
Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase Contrast Microscopy—0
MitoDet: Simple and robust mitosis detection—0
Mitosis Detection for Breast Cancer Pathology Images Using UV-Net—0
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields—0
Mitosis Detection Under Limited Annotation: A Joint Learning Approach—0
Mitosis domain generalization in histopathology images -- The MIDOG challenge—0
Multispectral Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology—0
Multi tasks RetinaNet for mitosis detection—0
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations—0
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge—0
Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation—0
Robust Multi-Domain Mitosis Detection—0
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge—0
Sk-Unet Model with Fourier Domain for Mitosis Detection—0
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures—0
Supporting Mitosis Detection AI Training with Inter-Observer Eye-Gaze Consistencies—0
Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images—0
Virtual staining for mitosis detection in Breast Histopathology—0
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks—0
Semi-supervised estimation of event temporal length for cell event detection—0
Z-Stack Scanning can Improve AI Detection of Mitosis: A Case Study of Meningiomas—0
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases—0
Assessment of algorithms for mitosis detection in breast cancer histopathology images—0
Cascade RCNN for MIDOG Challenge—0
Challenging mitosis detection algorithms: Global labels allow centroid localization—0
Deep Learning-based mitosis detection in breast cancer histologic samples—0
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge—0
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge—0
Domain-adversarial neural networks to address the appearance variability of histopathology images—0
Evaluation of the mitotic score of invasive breast carcinomas on digital slide: development and contribution of a mitosis detection algorithm—0
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset—0
Improving mitosis detection on histopathology images using large vision-language models—0
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