This demo shows how to fine-tune a pretrained deep convolutional network called SqueezeNet [1] to perform a crack/normal image classification. The classification output was discussed using a technique ...

This project focuses on identifying RF signals that may interfere with one another, addressing the increasing RF congestion in the modern technology era. Specifically, it aims to detect and suppress ...

Jiang Lab at WashU • Developed and coded a classification method using MATLAB to classify mammogram into tomosynthesis, right/left craniocaudal (CC) and mediolateral oblique (MLO) view • Used Cox ...