Name
Title | ||
|---|---|---|
Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images |
Abstract | ||
|---|---|---|
•Brightfield optical microscope images acquired by 20× and 40× objectives processed.•No cell staining and no fluorescent labeling.•Machine learning methods with color and size based object detection methods incorporated.•Neural Network, Random Forest and Support Vector Machine methods compared.•Detection and quantification of leukemia cells, micron size immunomagnetic beads and bead clusters performed on the images. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.bspc.2019.01.002 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Leukemia cells,Image-processing,Bright-field optical microscopy,Machine learning,Immunomagnetic beads,Support vector machines | Leukemia,Early detection,Computer vision,Biochip,Optical microscope,Word error rate,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
49 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fatma Uslu | 1 | 0 | 0.68 |
| Kutay Icoz | 2 | 0 | 2.37 |
| Kasim Tasdemir | 3 | 32 | 5.66 |
| Bülent Yilmaz | 4 | 4 | 2.48 |