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Cell Detection

Cell Detection

Papers

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Showing 76–100 of 132 papers

TitleStatusHype
Automatic Processing and Solar Cell Detection in Photovoltaic Electroluminescence Images—0
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline—0
Bone Marrow Cell Recognition: Training Deep Object Detection with A New Loss Function—0
Bone Marrow Cytomorphology Cell Detection using InceptionResNetV2—0
Bounding Box Priors for Cell Detection with Point Annotations—0
Cell detection on image-based immunoassays—0
Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection—0
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy—0
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images—0
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images—0
Deconvolving convolution neural network for cell detection—0
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell Detection—0
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images—0
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection—0
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos—0
DPA-P2PNet: Deformable Proposal-aware P2PNet for Accurate Point-based Cell Detection—0
DETCID: Detection of Elongated Touching Cells with Inhomogeneous Illumination using a Deep Adversarial Network—0
Detecting cell and protein concentrations by the use of a thermal based sensor—0
DEXTER: An end-to-end system to extract table contents from electronic medical health documents—0
Efficient Column Generation for Cell Detection and Segmentation—0
End-to-end cell recognition by point annotation—0
Enhanced Center Coding for Cell Detection with Convolutional Neural Networks—0
From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning—0
Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging—0
GanglionNet: Objectively Assess the Density and Distribution of Ganglion Cells With NABLA-N Network—0
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