Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation.

Rather than optimizing the validation performance through fine-tuning the model parameters, we simply selected the training parameters such that the training process can perform from end-to-end with a decreasing trend for both the training and validation losses.

also in 47,180 other papers