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Cell Detection

Cell Detection

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Showing 76–100 of 132 papers

TitleStatusHype
Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images—0
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classificationCode0
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position HeatmapCode0
Semi-supervised Cell Detection in Time-lapse Images Using Temporal ConsistencyCode0
Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology—0
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations—0
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology imagesCode1
TGRNet: A Table Graph Reconstruction Network for Table Structure RecognitionCode1
Photonic single perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks—0
TABBIE: Pretrained Representations of Tabular DataCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection—0
Cell abundance aware deep learning for cell detection on highly imbalanced pathological dataCode0
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps—0
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy ImagesCode0
Detecting cell and protein concentrations by the use of a thermal based sensor—0
Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images—0
Neural network fast-classifies biological images using features selected after their random-forests-importance to power smart microscopy—0
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
Table Structure Recognition using Top-Down and Bottom-Up CuesCode1
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baselineCode1
Multiscale Detection of Cancerous Tissue in High Resolution Slide Scans—0
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification—0
From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning—0
Weakly-Supervised Cell Tracking via Backward-and-Forward PropagationCode1
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