Red Lesion Endoscopy Dataset

This dataset contains 2 subsets of anonymized video capsule endoscopy images with annotated red lesions. 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 request your password via the link http://bioimglab.inesctec.pt/?page_id=2059 and fill the form.

Data and Resources

Additional Info

Field Value
Author Antonio Cunha
Last Updated November 19, 2018, 15:52 (Europe/Lisbon)
Created April 5, 2018, 16:23 (Europe/Lisbon)
DOI https://doi.org/10.25747/H131-XH63
dc.Date January 2018
dc.Format *.png, *.jpg, *.bmp
dc.Format.Extent 451MB
dc.Publisher INESC-TEC, C-BER Bioimaging
dc.Relation The article "A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies" accepted for publication in ICIAR 2018 (27-29 June)
dc.Type Images with annotation mask
ddi.InstrumentName Capsule endoscopy