logo
ResearchBunny Logo
Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials

Engineering and Technology

Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials

Y. Hirabayashi, H. Iga, et al.

This groundbreaking study by Yu Hirabayashi, Haruka Iga, Hiroki Ogawa, Shinnosuke Tokuta, Yusuke Shimada, and Akiyasu Yamamoto demonstrates the power of neural networks in recognizing intricate microstructures in polycrystalline ceramics, achieving an impressive IoU of 94.6%. Their U-Net model reconstructs giga-scale 3D images in minutes, showcasing the future of high-resolution material analysis.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials
Engineering and Technology

Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials

S. Masubuchi, E. Watanabe, et al.

Context Aware Deep Learning for Brain Tumor Segmentation, Subtype Classification, and Survival Prediction Using Radiology Images
Medicine and Health

Context Aware Deep Learning for Brain Tumor Segmentation, Subtype Classification, and Survival Prediction Using Radiology Images

L. Pei, L. Vidyaratne, et al.

A generative deep learning framework for inverse design of compositionally complex bulk metallic glasses
Engineering and Technology

A generative deep learning framework for inverse design of compositionally complex bulk metallic glasses

Z. Zhou, Y. Shang, et al.

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning
Engineering and Technology

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

S. Akers, E. Kautz, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny