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Cell Detection

Cell Detection

Papers

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Showing 26–50 of 132 papers

TitleStatusHype
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
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interactionCode1
Gravitational cell detection and tracking in fluorescence microscopy data—0
A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial AnnotationsCode0
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry dataCode1
Cell Tracking-by-detection using Elliptical Bounding BoxesCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell DetectionCode0
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
Osteosarcoma Tumor Detection using Transfer Learning Models—0
Bone Marrow Cytomorphology Cell Detection using InceptionResNetV2—0
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and CountingCode1
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology—0
An End-to-End Multi-Task Learning Model for Image-based Table RecognitionCode1
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
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