Automatic Classification of White Blood Cells Using a Semi-Supervised Convolutional Neural Network
The correct classification of white blood cell subtypes is critical in the diagnosis of blood disease. However, the performance of classical computer vision-based classification methods is heavily dependent on the features that should be carefully designed by trial and error. The machine learning-ba...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10478005/ |