Text · dataset · 2024
IMP Whole-Slide Images of Colorectal Samples 2024
Listed in INESC TEC Research Data Repository
Description
The IMP-CRS 2024 dataset contains 5333 colorectal biopsy and polypectomy slides, retrieved from the data archive of IMP Diagnostics laboratory, Portugal, digitised at 40X by 2 Leica GT450 WSI scanners. All cases are classified within one of the three categories: - Non-neoplastic (label 0) - Low-grade lesions (label 1) - conventional adenomas with low-grade dysplasia - High-grade lesions (label 2) - conventional adenomas with high-grade dysplasia, intra-mucosal carcinomas and invasive adenocarcinomas. ** Please read the Download and Usage information document below ** **Access to the dataset:** open-datasets.inesctec.pt/NQ3sxFMZ/
Links
Get the data
- IMP Whole-Slide Images open-datasets.inesctec.pt/NQ3sxFMZ ↗
download · from rdm inesctec pt
- Download and Usage information rdm.inesctec.pt/dataset/62a2a16a-1508-4bb0-9dd6-88fa363cea2b/resource/2a6fda0f… ↗
download · from rdm inesctec pt
- IMP-CRS10K structure rdm.inesctec.pt/dataset/62a2a16a-1508-4bb0-9dd6-88fa363cea2b/resource/d0738883… ↗
download · from rdm inesctec pt
- ReadMe rdm.inesctec.pt/dataset/62a2a16a-1508-4bb0-9dd6-88fa363cea2b/resource/3f059b1c… ↗
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/nis-2023-008 ↗
landing page · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=62a2a16a-1508-4bb0-9dd6-88fa363ce… ↗
metadata API · from rdm inesctec pt
Topics
- Stated by source
- NIS: Networked Intelligent Systems
- From keywords
- Computer Science & AI · Engineering · Medicine & Health
- Inferred from text
- Image 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | 62a2a16a-1508-4bb0-9dd6-88fa363cea2b | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:computer-science-ai | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:engineering | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · rdm inesctec pt | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[topic].ckan_group:rdm_inesctec_pt:nis-networked-intelligent-systems | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| created_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| description | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /notes |
| license_text | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| publication_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| title | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /title |
| updated_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 |