Name
Abstract | ||
|---|---|---|
Histology is the microscopic inspection of plant or animal tissue. It is a critical component in diagnostic medicine and a tool for studying the pathogenesis and biology of processes such as cancer and embryogenesis. Tissue processing for histology has become increasingly automated, drastically increasing the speed at which histology labs can produce tissue slides for viewing. Another trend is the digitization of these slides, allowing them to be viewed on a computer rather than through a microscope. Despite these changes, much of the routine analysis of tissue sections remains a painstaking, manual task that can only be completed by highly trained pathologists at a high cost per hour. There is, therefore, a niche for image analysis methods that can automate some aspects of this analysis. These methods could also automate tasks that are prohibitively time-consuming for humans, e.g., discovering new disease markers from hundreds of whole-slide images (WSIs) or precisely quantifying tissues within a tumor. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MSP.2014.2346443 | IEEE Signal Process. Mag. |
Field | DocType | Volume |
Signal processing,Computer vision,Automated tissue image analysis,Digitization,Computer science,Tissue Processing,Medical imaging,Visualization,Artificial intelligence,Microscopic Inspection,Histology | Journal | 32 |
Issue | ISSN | Citations |
1 | 1053-5888 | 16 |
PageRank | References | Authors |
0.89 | 31 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael T. McCann | 1 | 191 | 9.41 |
| John A Ozolek | 2 | 150 | 11.13 |
| Carlos A. Castro | 3 | 48 | 4.03 |
| Bahram Parvin | 4 | 995 | 65.01 |
| Jelena Kovacevic | 5 | 802 | 95.87 |