Name
Abstract | ||
|---|---|---|
•The proposed technique has improved the accuracy of leukocyte cell segmentation.•A new trainable segmentation framework based on 4-moment statistical features.•An automatic leukocyte cell segmentation process using ANNs.•The proposed technique evaluated based on comparison with other techniques.•Applicability of the technique on images captured under different lighting conditions. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2019.03.024 | Pattern Recognition Letters |
Keywords | Field | DocType |
Acute lymphoblastic leukemia,Machine learning technique,Segmentation,4-moment statistical features,Artificial neural networks,Microscopy images | Computer vision,Pattern recognition,Lymphoblastic Leukemia,Segmentation,Image processing,ABNORMAL WHITE BLOOD CELLS,Pixel,Artificial intelligence,Artificial neural network,Cell segmentation,Bone marrow,Mathematics | Journal |
Volume | ISSN | Citations |
125 | 0167-8655 | 1 |
PageRank | References | Authors |
0.46 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saif S. Al-jaboriy | 1 | 1 | 0.46 |
| Nilam Nur Amir Sjarif | 2 | 4 | 2.22 |
| S. Chuprat | 3 | 17 | 2.01 |
| Wafaa Mustafa Abduallah | 4 | 1 | 0.46 |