Detection and identification of macromolecular complexes in cryo-electron tomograms is challenging due to the extremely low signal-to-noise ratio (SNR).
Detection and identification of macromolecular complexes in cryo-electron tomograms is challenging due to the ex- tremely low signal-to-noise ratio (SNR).
Detection and identification of macromolecular complexes in cryo-electron tomograms is challenging due to the extremely low signal-to-noise ratio (SNR).
[PDF] Detection and identification of macromolecular complexes in ...
www.semanticscholar.org › paper
This work proposes a 3-step supervised learning approach for detection and identification of macromolecular complexes in cryo-electron tomograms using a ...
Detection and identification of macromolecular complexes in cryo-electron tomograms is challenging due to the ex- tremely low signal-to-noise ratio (SNR).
Detection and identification of macromolecular complexes in cryo ...
inria.hal.science › hal-01692295
Jun 17, 2024 · Detection and identification of macromolecular complexes in cryo-electron tomograms using support vector machines · Yuxiang Chen · Thomas Hrabe.
Detection and identification of macromolecular complexes in cryo ...
portal.fis.tum.de › fingerprints
Detection and identification of macromolecular complexes in cryo-electron tomograms using support vector machines. Yuxiang Chen, Thomas Hrabe, Stefan Pfeffer ...
Phantom cells are useful model systems for developing strategies and algorithms capable of detecting and identifying macromolecules in cryoelectron tomograms.
Missing: support vector
Detection and Identification of macromolecular complexes in cryo-electron tomograms using support vector machines. Biomedical Imaging (ISBI), 2012 9th IEEE ...
Mar 31, 2023 · Cryo-electron tomography can uniquely probe the native cellular environment for macromolecular structures. Tomograms feature complex data ...