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Mitosis Detection

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Showing 1–47 of 47 papers

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