Home ›
Entities
› academia
› A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation
Research article (Journal of Structural Biology, 2017) · cited 53× · AI/ML
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation
Summary
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation is a scholarly article[1].
Key Facts
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-convolutional-autoencoder-approach-for-mining-features-in-cellular-electron-cryo-tomograms-and-weakly-supervised-coars
MLA“A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-convolutional-autoencoder-approach-for-mining-features-in-cellular-electron-cryo-tomograms-and-weakly-supervised-coars.
BibTeX@misc{4ortxyz_a-convolutional-autoencoder-approach-for-mining-features-in-cellular-electron-cryo-tomograms-and-weakly-supervised-coars_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/a-convolutional-autoencoder-approach-for-mining-features-in-cellular-electron-cryo-tomograms-and-weakly-supervised-coars}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation — https://4ort.xyz/entity/a-convolutional-autoencoder-approach-for-mining-features-in-cellular-electron-cryo-tomograms-and-weakly-supervised-coars (retrieved 2026-05-24)
