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Cell Detection
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Cell Detection
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline
A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
Real-Time Cell Sorting with Scalable In Situ FPGA-Accelerated Deep Learning
Patherea: Cell Detection and Classification for the 2020s
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss
TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy
Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking
Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis
Fully Automated CTC Detection, Segmentation and Classification for Multi-Channel IF Imaging
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation
Holistic and Historical Instance Comparison for Cervical Cell Detection
Spatial Diffusion for Cell Layout Generation
LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection
Oral squamous cell detection using deep learning
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification
μ-Bench: A Vision-Language Benchmark for Microscopy Understanding
Malaria Cell Detection Using Deep Neural Networks
Advancing Cell Detection in Anterior Segment Optical Coherence Tomography Images
Immunocto: a massive immune cell database auto-generated for histopathology
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection
Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking
SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction
Gravitational cell detection and tracking in fluorescence microscopy data
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data
Cell Tracking-by-detection using Elliptical Bounding Boxes
INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.