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Cell Detection

Cell Detection

Papers

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Showing 1–50 of 132 papers

TitleStatusHype
Cell Detection with Star-convex PolygonsCode2
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Evaluating histopathology transfer learning with ChampKitCode1
LSM-YOLO: A Compact and Effective ROI Detector for Medical DetectionCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked AutoencoderCode1
TopoCellGen: Generating Histopathology Cell Topology with a Diffusion ModelCode1
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interactionCode1
PathoNet: Deep learning assisted evaluation of Ki-67 and tumor infiltrating lymphocytes (TILs) as prognostic factors in breast cancer; A large dataset and baselineCode1
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
Table Structure Recognition using Top-Down and Bottom-Up CuesCode1
Exploring Contextual Relationships for Cervical Abnormal Cell DetectionCode1
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry dataCode1
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology imagesCode1
Weakly-Supervised Cell Tracking via Backward-and-Forward PropagationCode1
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
TABBIE: Pretrained Representations of Tabular DataCode1
TGRNet: A Table Graph Reconstruction Network for Table Structure RecognitionCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and CountingCode1
Multi-Class Cell Detection Using Spatial Context RepresentationCode1
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial AnnotationsCode0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
Cell Tracking-by-detection using Elliptical Bounding BoxesCode0
Signet Ring Cell Detection With a Semi-supervised Learning 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
Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and TrackingCode0
Cell Segmentation by Combining Marker-Controlled Watershed and Deep LearningCode0
Advancing Cell Detection in Anterior Segment Optical Coherence Tomography ImagesCode0
Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed SensingCode0
ReCasNet: Improving consistency within the two-stage mitosis detection frameworkCode0
Self-supervised pseudo-colorizing of masked cellsCode0
Semi-supervised Cell Detection in Time-lapse Images Using Temporal ConsistencyCode0
Small Object Detection via Pixel Level Balancing With Applications to Blood Cell DetectionCode0
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position HeatmapCode0
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classificationCode0
AMDet: A Tool for Mitotic Cell Detection in Histopathology SlidesCode0
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotationsCode0
Cell abundance aware deep learning for cell detection on highly imbalanced pathological dataCode0
μ-Bench: A Vision-Language Benchmark for Microscopy UnderstandingCode0
On Complex Valued Convolutional Neural NetworksCode0
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell DetectionCode0
Brain tumour classification using BoF-SURF with filter-based feature selection methodsCode0
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and BeyondCode0
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell DetectionCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
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