Methods › Computer Vision › Counting Methods › KNN and IOU based verification
KNN and IOU based verification
Introduced by Mohammad Mahmudul Alam et al. in Machine learning approach of automatic identification and counting of blood cells
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
KNN and IoU-based Verification is used to verify detections and choose between multiple detections of the same underlying object. It was originally used within the context of blood cell counting in medical images. To avoid this double counting problem, the KNN algorithm is applied in each platelet to determine its closest platelet and then using the intersection of union (IOU) between two platelets we calculate their extent of overlap. The authors allow 10% of the overlap between platelet and its closest platelet based on empirical observations. If the overlap is larger than that, they ignore that cell as a double count to get rid of spurious counting.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Machine learning approach of automatic identification and counting of blood cells 5 Sep 2019 · 1 repository
Tasks archive 2025-07-28
7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| BIG-bench Machine Learning | 1 |
| Blood Cell Count | 1 |
| Blood Cell Detection | 1 |
| CBC TEST | 1 |
| Medical Diagnosis | 1 |
| Object Detection | 1 |
| object-detection | 1 |
Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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