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Cell Detection

Cell Detection

Papers

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Showing 51–100 of 132 papers

TitleStatusHype
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell DetectionCode0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
On Complex Valued Convolutional Neural NetworksCode0
Cell Segmentation by Combining Marker-Controlled Watershed and Deep LearningCode0
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotationsCode0
Cell Tracking-by-detection using Elliptical Bounding BoxesCode0
AMDet: A Tool for Mitotic Cell Detection in Histopathology SlidesCode0
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell DetectionCode0
Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep LearningCode0
ReCasNet: Improving consistency within the two-stage mitosis detection frameworkCode0
Cell Tracking via Proposal Generation and SelectionCode0
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy ImagesCode0
TE-YOLOF: Tiny and efficient YOLOF for blood cell detection—0
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection—0
Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study—0
Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening—0
Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images—0
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection—0
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation—0
A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images—0
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image—0
A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure—0
Appearance invariance in convolutional networks with neighborhood similarity—0
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices—0
Automated Multi-Process CTC Detection using Deep Learning—0
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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