Cargando…
Estimation of Average Grain Size from Microstructure Image Using a Convolutional Neural Network
In this study, the average grain size was evaluated from a microstructure image using a convolutional neural network. Since the grain size in a microstructure image can be directly measured and verified in the original image, unlike the chemical composition or mechanical properties of material, it i...
Autores principales: | Jung, Jun-Ho, Lee, Seok-Jae, Kim, Hee-Soo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571986/ https://www.ncbi.nlm.nih.gov/pubmed/36234295 http://dx.doi.org/10.3390/ma15196954 |
Ejemplares similares
-
Influence of the Depth of the Convolutional Neural Networks on an Artificial Intelligence Model for Diagnosis of Orthognathic Surgery
por: Kim, Ye-Hyun, et al.
Publicado: (2021) -
Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs)
por: Liu, Weihuang, et al.
Publicado: (2020) -
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks
por: Yang, Kaiqi, et al.
Publicado: (2021) -
Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks
por: Pham, Cuong Van, et al.
Publicado: (2021) -
Training Convolutional Neural Networks with Multi-Size Images and Triplet Loss for Remote Sensing Scene Classification
por: Zhang, Jianming, et al.
Publicado: (2020)