Blood Cell Detection
5 papers with code • 0 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Blood Cell Detection
BBBC041
Raw-Microscopy and Raw-Drone
uBench
LeukemiaAttri
Most implemented papers
Contour Proposal Networks for Biomedical Instance Segmentation
FZJ-INM1-BDA/celldetection
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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
MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells
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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
MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells
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Healthcare Technology Letters, IET 2019
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.
LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection
Firstly, by using LAE to refine feature extraction, the model can obtain more contextual information and high-resolution details from multiscale feature maps, thereby extracting detailed features of ROI in medical images while reducing the influence of noise.
