/PAUT

Deep Learning for Ultrasound Testing

PAUT

This repo surveys the Machine Learning & Deep Learning for Ultrasound Testing

Papers

Machine Learning method

Deep Learning method

  1. Investigation of deep neural network with drop out for ultrasonic flaw classification in weldments. Munir Nauman, Kim Hak-Joon, Song Sung-Jin, & Kang Sung-Sik. Journal of Mechanical Science & Technology, 2018[paper]

  2. Ultrasonic signal classification and imaging system for composite materials via deep convolutional neural networks. Meng, Min, Chua, Yiting Jacqueline, Wouterson, Erwin, & Ong, Chin Peng Kelvin. Neurocomputing, 2017[paper]

  3. Computerized Ultrasonic Imaging Inspection: From Shallow to Deep Learning. Jiaxing Ye，Shunya Ito，Nobuyuki Toyama. __, 2018[paper]

  4. Flaw Detection from Ultrasonic Images using YOLO and SSD. _Luka Posilovic, Duje Medak, Marko Subasic, Tomislav Petkovic, & Sven Loncaric. International Symposium on Image & Signal Processing & Analysis, 2019[paper]

Dataset

Code