Title | ||
---|---|---|
Automated Disease Identification With 3-D Optical Imaging: A Medical Diagnostic Tool. |
Abstract | ||
---|---|---|
Digital holographic microscopy is an ideal tool for 3-D cell imaging and characterization. It provides a host of cell parameters based on cell morphology and its temporal dynamics or time variation. These parameters can be used to study and quantify cell growth and cell physiology. When coupled with classification algorithms, this technique can also be used to identify and classify cells such as b... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/JPROC.2016.2636238 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Microscopy,Diseases,Optical imaging,Holography,Biomedical imaging,Image reconstruction,Cellular biophysics,Image classification | Journal | 105 |
Issue | ISSN | Citations |
5 | 0018-9219 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arun Anand | 1 | 0 | 0.68 |
Inkyu Moon | 2 | 32 | 8.07 |
Bahram Javidi | 3 | 110 | 20.30 |