Data · dataset · 2025
BlaVeS: Bladder Vessel Segmentation
Listed in DaRUS
The Bladder Vessel Segmentation (BlaVeS) dataset is the first publicly available dataset for blood vessel segmentation in urinary bladder endoscopy images.
Description
It provides hand-labeled pixel-wise annotations of prominent blood vessels to support bladder navigation, tumor monitoring, and biopsy site localization. The dataset is designed to aid in developing deep learning models for improving orientation and navigation during cystoscopic procedures.
A total of 50 representative images were selected from four clinical cystoscopic video recordings (8 minutes in total). Each image has a 512×512 pixel resolution and is stored in PNG format. Dataset Structure pretraining/ (For initial model training) training/ (Labeled images for training segmentation models) training_augmented/ (Extended training set with augmented samples) testing/ images/ (Input cystoscopic images) input_image_1.png input_image_2.png ... groundtruth/ (Pixel-wise blood vessel masks) mask_1.png mask_2.png ...
Links
Where it is published
- Dataverse dataset page darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi%3A10.18419%2FDARUS-4763 ↗
landing page · from darus uni stuttgart de
- DOI doi.org/10.18419/darus-4763 ↗
DOI / persistent id · from darus uni stuttgart de
Catalogue records · 1
- Dataverse API darus.uni-stuttgart.de/api/datasets/:persistentId/?persistentId=doi%3A10.18419%2FDARU… ↗
metadata API · from darus uni stuttgart de
Topics
- Stated by source
- Computer and Information Science · Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DaRUS | doi:10.18419/DARUS-4763 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | enrichment · darus uni stuttgart de | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[field].dataverse_subject:computer-and-information-science | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · darus uni stuttgart de | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · darus uni stuttgart de | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| description | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /description |
| publication_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| title | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | /name |
| updated_date | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 | |
| version_label | source · darus uni stuttgart de | connector:darus_uni_stuttgart_de@1.0.0 |