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Cell Detection

Cell Detection

Papers

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Showing 51–75 of 132 papers

TitleStatusHype
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
Gravitational cell detection and tracking in fluorescence microscopy data—0
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial AnnotationsCode0
Cell Tracking-by-detection using Elliptical Bounding BoxesCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell DetectionCode0
Osteosarcoma Tumor Detection using Transfer Learning Models—0
Bone Marrow Cytomorphology Cell Detection using InceptionResNetV2—0
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology—0
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell DetectionCode0
DPA-P2PNet: Deformable Proposal-aware P2PNet for Accurate Point-based Cell Detection—0
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotationsCode0
Self-supervised pseudo-colorizing of masked cellsCode0
Bounding Box Priors for Cell Detection with Point Annotations—0
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection—0
Multi tasks RetinaNet for mitosis detection—0
Sample hardness based gradient loss for long-tailed cervical cell detection—0
DEXTER: An end-to-end system to extract table contents from electronic medical health documents—0
End-to-end cell recognition by point annotation—0
Small Object Detection via Pixel Level Balancing With Applications to Blood Cell DetectionCode0
CellCentroidFormer: Combining Self-attention and Convolution for Cell DetectionCode0
Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution DataCode0
ReCasNet: Improving consistency within the two-stage mitosis detection frameworkCode0
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection—0
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide ImagesCode0
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