Computer vision and residual neural network algorithm

Computer vision and residual neural network algorithm improves recognition of yeast budding events in silico (F1 scores over 92%).

“The ResNet algorithm achieved high F1 scores (over 92%) demonstrating the effectiveness and accuracy in the recognition of yeast budding events, such as bud appearance, daughter dissection and cell death.”

In silico

A computer vision and residual neural network (ResNet) combined method for automated and accurate yeast replicative aging analysis of high-throughput microfluidic single-cell images

Biosensors & bioelectronics·Nov 4, 2023