How is Transfer Learning Used in Histology with CNNs?
Transfer learning involves using a pre-trained CNN on a large dataset and fine-tuning it for a specific histological task. This approach is beneficial when the available annotated histology data is limited. By utilizing pre-trained networks, researchers can achieve good performance with less data and reduced training time.
