Deep learning has transformed the automated analysis of cell images by enabling high‐throughput, accurate classification of subcellular patterns and morphological features. Convolutional neural ...

A hierarchical deep-learning framework classified five lung and colon tissue classes with 98.50% accuracy on LC25000 and ...

Conceived an international research group, the proposed model uses the convolutional neural network (CNN) architecture U-Net for image segmentation and the the CNN architecture InceptionV3-Net for ...

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...