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Cell Detection

Cell Detection

Papers

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Showing 1–50 of 132 papers

TitleStatusHype
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Cell Detection with Star-convex PolygonsCode2
TopoCellGen: Generating Histopathology Cell Topology with a Diffusion ModelCode1
LSM-YOLO: A Compact and Effective ROI Detector for Medical DetectionCode1
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interactionCode1
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry dataCode1
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and CountingCode1
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
Exploring Contextual Relationships for Cervical Abnormal Cell DetectionCode1
Evaluating histopathology transfer learning with ChampKitCode1
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked AutoencoderCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Multi-Class Cell Detection Using Spatial Context RepresentationCode1
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology imagesCode1
TGRNet: A Table Graph Reconstruction Network for Table Structure RecognitionCode1
TABBIE: Pretrained Representations of Tabular DataCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
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
Weakly-Supervised Cell Tracking via Backward-and-Forward PropagationCode1
Style-Aligned Image Composition for Robust Detection of Abnormal Cells in CytopathologyCode0
Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0—0
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline—0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep LearningCode0
Patherea: Cell Detection and Classification for the 2020s—0
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss—0
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy—0
Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and TrackingCode0
Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study—0
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis—0
Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging—0
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box PropagationCode0
Holistic and Historical Instance Comparison for Cervical Cell DetectionCode0
Spatial Diffusion for Cell Layout GenerationCode0
Oral squamous cell detection using deep learning—0
μ-Bench: A Vision-Language Benchmark for Microscopy UnderstandingCode0
Malaria Cell Detection Using Deep Neural Networks—0
Advancing Cell Detection in Anterior Segment Optical Coherence Tomography ImagesCode0
Immunocto: a massive immune cell database auto-generated for histopathology—0
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and BeyondCode0
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration—0
Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection—0
Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening—0
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning—0
Brain tumour classification using BoF-SURF with filter-based feature selection methodsCode0
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