Bookmarks
Gastric Cancer
Population Size
130
People
Years
2012
Associated BioSamples
None/not available
Geographic coverage
West Midlands
Lead time
2-6 months
Summary
A highly curated, multi-modal Gastric Cancer dataset to develop a deep learning algorithm capable of predicting the MSS/MSI phenotype in Gastric Cancer from histology slides.
Documentation
A highly curated, multi-modal Gastric Cancer dataset to develop a deep learning algorithm capable of predicting the MSS/MSI phenotype in Gastric Cancer from histology slides.
Dataset type
Dataset population size
130
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
|---|---|---|---|---|
Persons | 130 multimodal patients. | 130 | Count | 20 Feb 2025 |
Provenance
Purpose of dataset collection
Study
Source of data extraction
EPR, LIMS
Collection source setting
Clinic, Secondary care - In-patients, Secondary care - Outpatients, Services
Image contrast
Not stated
Biological sample availability
None/not available
Structural Metadata
Details
Publishing frequency
Static
Version
1.0.0
Modified
19/02/2025
Citation Requirements
SDE067
Coverage
Start date
01/01/2012
Time lag
2-6 months
Geographic coverage
West Midlands
Accessibility
Language
en
Alignment with standardised data models
OTHER
Controlled vocabulary
ICD10
Format
SQL
Data Access Request
Dataset pipeline status
Not available
Access rights
Information Governance and Ethics - West Midlands Secure Data Environment (https://westmidlandssde.nhs.uk/information-governance-and-ethics)
Time to dataset access
2-6 months
Access request cost
Please email wmsde@uhb.nhs.uk
Access method category
TRE/SDE
Access service description
Data Request Process - West Midlands Secure Data Environment (https://westmidlandssde.nhs.uk/research/data-request)