Data Study Group Final Report: Bristol University – Applying AI and machine learning to reveal the molecular basis of heart disease

Cemal, Eron, Chatzi, Vasiliki, Fluetsch, Andrin, Haberland, Valeriia ORCID: https://orcid.org/0000-0002-3874-0683, Skinner, Simon, Veretennikova, Maria and Wang, Haoyi (2020) Data Study Group Final Report: Bristol University – Applying AI and machine learning to reveal the molecular basis of heart disease. The Alan Turing Institute.

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Abstract

Automated actin filament detection in cryo electron microscopy images using image segmentation deep neural networks This report presents the output of the Cryo-EM challenge organised by The Alan Turing Institute and Jean Golding Institute as part of the Turing Data Study Group event in Bristol, August 2019. The aim of this challenge was to create an automated image processing workflow of actin filament identification, straightening, and extraction. This would be an important step towards detecting the troponin located on top of these actin filaments.

Item Type:	Book
Related URLs:	https://www.turing.ac.uk/research/public...
Depositing User:	LivePure Connector
Date Deposited:	06 Nov 2020 01:46
Last Modified:	12 Jan 2024 01:42
URI:	https://ueaeprints.uea.ac.uk/id/eprint/77566
DOI:

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