A database for the assessment of polyp detection.
CVC-ColonDB is a database of annotated video sequences of colonoscopy video. It contains 15 short colonoscopy sequences, coming from 15 different studies. In each sequence one polyp is shown.
We provide an annotation of the region of interest (ROI) for 300 frames selected from all the sequences. These frames were selected in order to maximise the visual difference between them. The ROIs define the whole area covering the polyp and they are implemented as binary images, with white masks over a black background.
The database consists of 1200 different images, divided in four groups:
- Original .bmp files
- Polyp masks (named as p(number_of_image).bmp
- Non-informative region masks (named as s(number_of_image).bmp
- Contour of the polyp masks (named as c(number_of_image).bmp
Jorge Bernal, F. Javier Sanchez, & Fernando Vilariño. (2012). “Towards Automatic Polyp Detection with a Polyp Appearance Model “ . Pattern Recognition, 45(9), 3166–3182.
To use the database, you must register first. Follow this link for registration. If you have already have an user name and password, log in using the form below: