A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database
Background Immunohistochemistry (IHC) has played an essential role in the diagnosis of hematolymphoid neoplasms. However, IHC interpretations can be challenging in daily practice, and exponentially expanding volumes of IHC data are making the task increasingly difficult. We therefore developed a mac...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Pathologists & the Korean Society for Cytopathology
2020-11-01
|
| Series: | Journal of Pathology and Translational Medicine |
| Subjects: | |
| Online Access: | http://www.jpatholtm.org/upload/pdf/jptm-2020-07-11.pdf |