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Mitosis Detection

Papers

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Showing 1–25 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
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