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

Eron Cemal; Vasiliki Chatzi; Andrin Fluetsch; Valeriia Haberland; Simon Skinner; Maria Veretennikova; Haoyi Wang

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

Eron Cemal, Vasiliki Chatzi, Andrin Fluetsch, Valeriia Haberland, Simon Skinner, Maria Veretennikova, Haoyi Wang

Research output: Book/Report › Commissioned report

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.

Original language	English
Publisher	The Alan Turing Institute
Publication status	Published - 5 Nov 2020
Externally published	Yes

Access to Document

https://www.turing.ac.uk/research/publications/data-study-group-final-report-bristol-university-applying-ai-and-machine

Cite this

Cemal, E., Chatzi, V., Fluetsch, A., Haberland, V., Skinner, S., Veretennikova, M., & Wang, H. (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. https://www.turing.ac.uk/research/publications/data-study-group-final-report-bristol-university-applying-ai-and-machine

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Cemal, E, Chatzi, V, Fluetsch, A, Haberland, V, Skinner, S, Veretennikova, M & Wang, H 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. <https://www.turing.ac.uk/research/publications/data-study-group-final-report-bristol-university-applying-ai-and-machine>

TY - BOOK

T1 - Data Study Group Final Report: Bristol University – Applying AI and machine learning to reveal the molecular basis of heart disease

AU - Cemal, Eron

AU - Chatzi, Vasiliki

AU - Fluetsch, Andrin

AU - Haberland, Valeriia

AU - Skinner, Simon

AU - Veretennikova, Maria

AU - Wang, Haoyi

PY - 2020/11/5

Y1 - 2020/11/5

N2 - Automated actin filament detection in cryo electron microscopy images using image segmentation deep neural networksThis 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.

AB - Automated actin filament detection in cryo electron microscopy images using image segmentation deep neural networksThis 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.

M3 - Commissioned report

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

PB - The Alan Turing Institute

ER -