Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data

14 January 2020

Papers citing "Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data"

6 / 6 papers shown

Title
Learning-based Defect Recognition for Quasi-Periodic Microscope Images N. Dennler A. Foncubierta-Rodríguez T. Neupert M. Sousa 6 9 0 02 Jul 2020
Fully automated primary particle size analysis of agglomerates on transmission electron microscopy images via artificial neural networks M. Frei F. Kruis 11 31 0 08 Jun 2018
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel Brian L. DeCost Bo Lei T. Francis Elizabeth A. Holm AI4CE 29 143 0 04 May 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 754 76,547 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014
scikit-image: Image processing in Python Stéfan van der Walt Johannes L. Schonberger Juan Nunez-Iglesias François Boulogne Joshua D. Warner Neil Yager Emmanuelle Gouillart Tony Yu the scikit-image contributors SSeg GP VLM 71 4,351 0 23 Jul 2014