HAL (France)
open access
Unlocking 3D nanoparticle shapes from 2D high-resolution transmission electron microscopy images: a deep learning approach
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CrystalX: High-accuracy Crystal Structure Analysis Using Deep Learning#163059
- Deep-learning based porosities segmentation applied to twin robotic CT images#482524
- TopoFuse: Topology-Aware Tri-Planar Fusion for 3D Cryo-Electron Tomography Segmentation#1077644
- Automatic estimation of single-tooth width from standardized two-dimensional occlusal photographs using deep learning.#15045
- Polymer Phase Behavior Simulation Study via Deep Learning and Binding-Induced Polarization#929321
Record · ID 624738
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive