scholarly article | Q13442814 |
P50 | author | Talal Al-Samman | Q58323501 |
Sandra Korte-Kerzel | Q58659836 | ||
P2093 | author name string | Carl Kusche | |
Martina Freund | |||
Tom Reclik | |||
Ulrich Kerzel | |||
P2860 | cites work | High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel. | Q64924876 |
Dermatologist-level classification of skin cancer with deep neural networks | Q28528865 | ||
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis | Q36925087 | ||
Advanced Steel Microstructural Classification by Deep Learning Methods. | Q49314101 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | scikit-learn | Q1026367 |
scikit-image | Q22442795 | ||
deep learning | Q197536 | ||
P433 | issue | 5 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | deep learning | Q197536 |
P304 | page(s) | e0216493 | |
P577 | publication date | 2019-05-08 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning | |
P478 | volume | 14 |
Q91151721 | Degradation Mechanism Detection in Photovoltaic Backsheets by Fully Convolutional Neural Network | cites work | P2860 |
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