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Tomography data of methane-bearing sand used to investigate U-Net segmentation methods

Tomography data of methane-bearing sand used to investigate U-Net segmentation methods
Tomography data of methane-bearing sand used to investigate U-Net segmentation methods
These tomographic data sets were used to evaluate the suitability of different U-Net implementations to produce accurate segmentations. Hand-annotated training and validation sub-volumes as well as the segmentation outputs from the U-Net implementations are also included. These data support a research article submission titled: U-Net Segmentation Methods for Variable-Contrast XCT Images of Methane-Bearing Sand. All data processing methods are described in the article manuscript and supporting information. Tomography data were acquired at Diamond Light Source on beamline I13-2 (proposal MT16205-1). Please read README.txt Copyright 2021 Diamond Light Source Ltd. Licensed under the Apache License, Version 2.0.
Zenodo
Madhusudhan, Bangalore N.
366ffcb0-657c-4897-8f72-8621f36af32f
Alvarez-Borges, Fernando J.
9d9257b8-7421-4fd2-b4e8-adef24abeeee
King, Oliver N. F.
6739ea34-bd03-4bf1-959f-b35af4d77c42
Basham, Mark
55739b97-162a-4d37-bee8-a392948fcbcc
Connolley, Thomas
baeb481e-885f-4ac9-ad83-fc6537ac5337
Ahmed, Sharif I.
e7181acb-a5ad-4712-b6bd-4c4dfbf6a9dc
Madhusudhan, Bangalore N.
366ffcb0-657c-4897-8f72-8621f36af32f
Alvarez-Borges, Fernando J.
9d9257b8-7421-4fd2-b4e8-adef24abeeee
King, Oliver N. F.
6739ea34-bd03-4bf1-959f-b35af4d77c42
Basham, Mark
55739b97-162a-4d37-bee8-a392948fcbcc
Connolley, Thomas
baeb481e-885f-4ac9-ad83-fc6537ac5337
Ahmed, Sharif I.
e7181acb-a5ad-4712-b6bd-4c4dfbf6a9dc

(2021) Tomography data of methane-bearing sand used to investigate U-Net segmentation methods. Zenodo doi:10.5281/zenodo.4580278 [Dataset]

Record type: Dataset

Abstract

These tomographic data sets were used to evaluate the suitability of different U-Net implementations to produce accurate segmentations. Hand-annotated training and validation sub-volumes as well as the segmentation outputs from the U-Net implementations are also included. These data support a research article submission titled: U-Net Segmentation Methods for Variable-Contrast XCT Images of Methane-Bearing Sand. All data processing methods are described in the article manuscript and supporting information. Tomography data were acquired at Diamond Light Source on beamline I13-2 (proposal MT16205-1). Please read README.txt Copyright 2021 Diamond Light Source Ltd. Licensed under the Apache License, Version 2.0.

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More information

Published date: 15 April 2021

Identifiers

Local EPrints ID: 472812
URI: http://eprints.soton.ac.uk/id/eprint/472812
PURE UUID: eb62f96e-7e5e-49d5-8860-2977aa984504
ORCID for Fernando J. Alvarez-Borges: ORCID iD orcid.org/0000-0002-6940-9918

Catalogue record

Date deposited: 19 Dec 2022 17:51
Last modified: 05 May 2023 20:15

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Contributors

Contributor: Bangalore N. Madhusudhan
Contributor: Fernando J. Alvarez-Borges ORCID iD
Contributor: Oliver N. F. King
Contributor: Mark Basham
Contributor: Thomas Connolley
Contributor: Sharif I. Ahmed

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