Blood Cell Detection
4 papers with code • 0 benchmarks • 2 datasets
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Most implemented papers
Contour Proposal Networks for Biomedical Instance Segmentation
We construct CPN models with different backbone networks, and apply them to instance segmentation of cells in datasets from different modalities.
Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
Machine learning approach of automatic identification and counting of blood cells
A complete blood cell count is an important test in medical diagnosis to evaluate overall health condition.
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
Blood cell detection is a typical small-scale object detection problem in computer vision.