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Data supporting University of Southampton Doctoral Thesis 'Labelling, Modelling, and Predicting Cell Biocompatibility using Deep Neural Networks'

Data supporting University of Southampton Doctoral Thesis 'Labelling, Modelling, and Predicting Cell Biocompatibility using Deep Neural Networks'
Data supporting University of Southampton Doctoral Thesis 'Labelling, Modelling, and Predicting Cell Biocompatibility using Deep Neural Networks'
Data supporting the Doctoral Thesis: B S Mackay (2021) “Labelling, Modelling, and Predicting Cell Biocompatibility using Deep Neural Networks”, University of Southampton, Optoelectronic Research Centre of the Zepler Institute There are two main sections to the data enclosed here. The first section includes the figures, including graphs, found in the associated thesis. The second section includes the 203 raw images used to train the deep neural network of Chapter 6. Network architecture is a modified version of a typical U-Net, as can be found at https://github.com/affinelayer/pix2pix-tensorflow The raw data used to train the deep neural networks of Chapters 5 and 7 were provided by collaborators, and so are not included in this dataset.
University of Southampton
MacKay, Benita, Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
MacKay, Benita, Scout
318d298f-5b38-43d7-b30d-8cd07f69acd4
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Kanczler, Janos
eb8db9ff-a038-475f-9030-48eef2b0559c
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778

MacKay, Benita, Scout (2022) Data supporting University of Southampton Doctoral Thesis 'Labelling, Modelling, and Predicting Cell Biocompatibility using Deep Neural Networks'. University of Southampton doi:10.5258/SOTON/D2076 [Dataset]

Record type: Dataset

Abstract

Data supporting the Doctoral Thesis: B S Mackay (2021) “Labelling, Modelling, and Predicting Cell Biocompatibility using Deep Neural Networks”, University of Southampton, Optoelectronic Research Centre of the Zepler Institute There are two main sections to the data enclosed here. The first section includes the figures, including graphs, found in the associated thesis. The second section includes the 203 raw images used to train the deep neural network of Chapter 6. Network architecture is a modified version of a typical U-Net, as can be found at https://github.com/affinelayer/pix2pix-tensorflow The raw data used to train the deep neural networks of Chapters 5 and 7 were provided by collaborators, and so are not included in this dataset.

Text
README.txt - Text
Available under License Creative Commons Attribution.
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Archive
RawChapter6.zip - Dataset
Available under License Creative Commons Attribution.
Download (569MB)
Archive
Figures.zip - Dataset
Available under License Creative Commons Attribution.
Download (62MB)

More information

Published date: 2022

Identifiers

Local EPrints ID: 473058
URI: http://eprints.soton.ac.uk/id/eprint/473058
PURE UUID: 1d2dc1a2-eb52-42b8-8cc5-fafbfdf0db55
ORCID for Benita, Scout MacKay: ORCID iD orcid.org/0000-0003-2050-8912
ORCID for Benjamin Mills: ORCID iD orcid.org/0000-0002-1784-1012
ORCID for James Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Robert Eason: ORCID iD orcid.org/0000-0001-9704-2204
ORCID for Janos Kanczler: ORCID iD orcid.org/0000-0001-7249-0414
ORCID for Richard Oreffo: ORCID iD orcid.org/0000-0001-5995-6726

Catalogue record

Date deposited: 09 Jan 2023 18:34
Last modified: 06 May 2023 01:45

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Contributors

Creator: Benita, Scout MacKay ORCID iD
Research team head: Benjamin Mills ORCID iD
Research team head: James Grant-Jacob ORCID iD
Research team head: Robert Eason ORCID iD
Research team head: Janos Kanczler ORCID iD
Research team head: Richard Oreffo ORCID iD

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