The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Dataset for: Automated, Localized, Phototherapy of Psoriasis via Machine Learning

Dataset for: Automated, Localized, Phototherapy of Psoriasis via Machine Learning
Dataset for: Automated, Localized, Phototherapy of Psoriasis via Machine Learning
Plots, video demonstration and performance analysis data for a neural network trained to recognise and treat psoriasis. Data available on request to bonefide researchers approved by the 'data access committee' Please complete the request form to request access.
Psoriasis, Neural Networks
University of Southampton
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Scott, Joseph
be3b8f57-ae90-436e-bc83-523c5ba9c3a7
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Barnsley, Josephine
b33a4b93-a4b3-4251-9790-0efccece8691
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Healy, Eugene
400fc04d-f81a-474a-ae25-7ff894be0ebd
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0
Praeger, Matthew
84575f28-4530-4f89-9355-9c5b6acc6cac
Scott, Joseph
be3b8f57-ae90-436e-bc83-523c5ba9c3a7
Grant-Jacob, James
c5d144d8-3c43-4195-8e80-edd96bfda91b
Barnsley, Josephine
b33a4b93-a4b3-4251-9790-0efccece8691
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Eason, Robert
e38684c3-d18c-41b9-a4aa-def67283b020
Healy, Eugene
400fc04d-f81a-474a-ae25-7ff894be0ebd
Mills, Benjamin
05f1886e-96ef-420f-b856-4115f4ab36d0

Praeger, Matthew, Scott, Joseph, Grant-Jacob, James, Barnsley, Josephine, Niranjan, Mahesan, Eason, Robert, Healy, Eugene and Mills, Benjamin (2024) Dataset for: Automated, Localized, Phototherapy of Psoriasis via Machine Learning. University of Southampton doi:10.5258/SOTON/D2485 [Dataset]

Record type: Dataset

Abstract

Plots, video demonstration and performance analysis data for a neural network trained to recognise and treat psoriasis. Data available on request to bonefide researchers approved by the 'data access committee' Please complete the request form to request access.

UNSPECIFIED
D2485-readme.txt - Dataset
Available under License Creative Commons Attribution.
Download (0B)
UNSPECIFIED
Request-Form-D2485.docx - Dataset
Available under License Creative Commons Attribution.
Download (0B)

More information

Published date: May 2024
Keywords: Psoriasis, Neural Networks
Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Vision, Learning and Control research

Identifiers

Local EPrints ID: 489992
URI: http://eprints.soton.ac.uk/id/eprint/489992
DOI: doi:10.5258/SOTON/D2485
PURE UUID: d4c1a0ae-b253-40a7-aa46-3335b630b97f
ORCID for Matthew Praeger: ORCID iD orcid.org/0000-0002-5814-6155
ORCID for James Grant-Jacob: ORCID iD orcid.org/0000-0002-4270-4247
ORCID for Mahesan Niranjan: ORCID iD orcid.org/0000-0001-7021-140X
ORCID for Robert Eason: ORCID iD orcid.org/0000-0001-9704-2204
ORCID for Benjamin Mills: ORCID iD orcid.org/0000-0002-1784-1012

Catalogue record

Date deposited: 10 May 2024 16:46
Last modified: 14 May 2024 01:42

Export record

Altmetrics

Contributors

Creator: Matthew Praeger ORCID iD
Creator: Joseph Scott
Creator: James Grant-Jacob ORCID iD
Creator: Josephine Barnsley
Creator: Mahesan Niranjan ORCID iD
Creator: Robert Eason ORCID iD
Creator: Eugene Healy
Creator: Benjamin Mills ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×