MahmudulAlam / Automatic-Identification-and-Counting-of-Blood-Cells

Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

Date Created 2018-08-25 (6 years ago)

Commits 60 (last one 2 years ago)

Stargazers 136 (0 this week)

Watchers 6 (0 this week)

Forks 52

License gpl-3.0

Ranking

RepositoryStats indexes 595,856 repositories, of these MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells is ranked #238,280 (60th percentile) for total stargazers, and #300,666 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #43,622/119,431.

MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells is also tagged with popular topics, for these it's ranked: machine-learning (#4,091/8063), object-detection (#600/1176), cnn (#248/556), detection (#254/452), yolo (#167/354)

Other Information

MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells has Github issues enabled, there are 3 open issues and 17 closed issues.

There have been 2 releases, the latest one was published on 2022-12-21 (2 years ago) with the name Detection with TensorFlow 2.x.

Homepage URL: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/htl.2018.5098

All Topics

cbc cnn iou knn rbc wbc yolo counting detection platelets blood-cells machine-learning object-detection automated-diagnosis blood-cell-counting blood-cell-detection

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3 commits on the default branch (master) since jan '22

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MahmudulAlam/Automatic-Identification-and-Counting-of-Blood-Cells

updated: 2024-12-15 @ 03:23am, id: 146087463 / R_kgDOCLUeJw