High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel

Advanced Steel Microstructural Classification by Deep Learning Methods

(2018) Seyed Majid Azimi et al.   Scientific Reports

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Coarsening of Inter- and Intra-granular Proeutectoid Cementite in an Initially Pearlitic 2C-4Cr Ultrahigh Carbon Steel

(2017) Matthew D. Hecht et al.   METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE

Image driven machine learning methods for microstructure recognition

(2016) Aritra Chowdhury et al.   COMPUTATIONAL MATERIALS SCIENCE

Digital image analysis to quantify carbide networks in ultrahigh carbon steels

(2016) Matthew D. Hecht et al.   MATERIALS CHARACTERIZATION

A computer vision approach for automated analysis and classification of microstructural image data

(2015) Brian L. DeCost et al.   COMPUTATIONAL MATERIALS SCIENCE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

The Medical Imaging Interaction Toolkit: challenges and advances

(2013) Marco Nolden et al.   International Journal of Computer Assisted Radiology and Surgery