Archive · dataset · 2018
Red Lesion Endoscopy Dataset
Listed in INESC TEC Research Data Repository
This dataset contains 2 subsets of anonymized video capsule endoscopy images with annotated red lesions.
Description
Folder "Set 1" has 3,295 non-sequential frames in sub-folder "A" and the corresponding annotated masks in sub-folder "B"; Similarly, folder "Set 2" has 600 sequential frames. All frames are 320x320 pixels wide.
This dataset was used in the article "A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies" published at ICIAR 2018 to evaluate deep learning U-Net architecture, detect and segment red lesions in the small bowel. To access the dataset please use this password: 7PbuQHER
Links
Get the data
- Video capsule endoscopy frames rdm.inesctec.pt/dataset/4b80534a-a8f7-472e-8ff7-f35d046c0f62/resource/e060aa66… ↗
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/nis-2018-003 ↗
landing page · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=4b80534a-a8f7-472e-8ff7-f35d046c0… ↗
metadata API · from rdm inesctec pt
Topics
- Stated by source
- NIS: Networked Intelligent Systems
- From keywords
- Computer Science & AI · Deep learning · Engineering
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | 4b80534a-a8f7-472e-8ff7-f35d046c0f62 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| 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[modality].local:modality:image | enrichment · rdm inesctec pt | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:video | enrichment · rdm inesctec pt | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |