all AI news
Automated image analysis in large-scale cellular electron microscopy: A literature survey. (arXiv:2206.07171v1 [cs.CV])
June 16, 2022, 1:13 a.m. | Anusha Aswatha, Ahmad Alsahaf, Ben N. G. Giepmans, George Azzopardi
cs.CV updates on arXiv.org arxiv.org
Large-scale electron microscopy (EM) datasets generated using (semi-)
automated microscopes are becoming the standard in EM. Given the vast amounts
of data, manual analysis of all data is not feasible, thus automated analysis
is crucial. The main challenges in automated analysis include the annotation
that is needed to analyse and interpret biomedical images, coupled with
achieving high-throughput. Here, we review the current state-of-the-art of
automated computer techniques and major challenges for the analysis of
structures in cellular EM. The advanced …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Staff Software Engineer, Generative AI, Google Cloud AI
@ Google | Mountain View, CA, USA; Sunnyvale, CA, USA
Expert Data Sciences
@ Gainwell Technologies | Any city, CO, US, 99999