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Cell Detection

Cell Detection

Papers

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Showing 101–132 of 132 papers

TitleStatusHype
Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context—0
Gravitational cell detection and tracking in fluorescence microscopy data—0
Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology—0
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification—0
Immunocto: a massive immune cell database auto-generated for histopathology—0
Instance Segmentation of Multiple Myeloma Cells via Hybrid Task Cascade—0
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration—0
Isotachophoresis applied to chemical reactions—0
Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images—0
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss—0
MACD R-CNN: An Abnormal Cell Nucleus Detection Method—0
Malaria Cell Detection Using Deep Neural Networks—0
Malaria detection in Segmented Blood Cell using Convolutional Neural Networks and Canny Edge Detection—0
Multi-Cell Detection and Classification Using a Generative Convolutional Model—0
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images—0
Multiscale Detection of Cancerous Tissue in High Resolution Slide Scans—0
Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection—0
Multi tasks RetinaNet for mitosis detection—0
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology—0
Neural network fast-classifies biological images using features selected after their random-forests-importance to power smart microscopy—0
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology—0
Oral squamous cell detection using deep learning—0
Osteosarcoma Tumor Detection using Transfer Learning Models—0
Patherea: Cell Detection and Classification for the 2020s—0
Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0—0
Photonic single perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks—0
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations—0
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis—0
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps—0
Sample hardness based gradient loss for long-tailed cervical cell detection—0
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning—0
Symmetric Dense Inception Network for Simultaneous Cell Detection and Classification in Multiplex Immunohistochemistry Images—0
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