Journal article
CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy
ENDOSCOPY INTERNATIONAL OPEN, v 8(3), pp E415-E420
Mar 2020
PMID: 32118115
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Background and study aims Capsule endoscopy (CE) is the preferred method for small bowel (SB) exploration. With a mean number of 50,000 SB frames per video, SBCE reading is time-consuming and tedious (30 to 60 minutes per video). We describe a large, multicenter database named CAD-CAP (Computer-Assisted Diagnosis for CAPsule Endoscopy, CAD-CAP). This database aims to serve the development of CAD tools for CE reading. Materials and methods Twelve French endoscopy centers were involved. All available third-generation SB-CE videos (Pillcam, Medtronic) were retrospectively selected from these centers and deidentified. Any pathological frame was extracted and included in the database. Manual segmentation of findings within these frames was performed by two pre-med students trained and supervised by an expert reader. All frames were then classified by type and clinical relevance by a panel of three expert readers. An automated extraction process was also developed to create a dataset of normal, proofread, control images from normal, complete, SB-CE videos. Results Four-thousand-one-hundred-and-seventy-four SB-CE were included. Of them, 1,480 videos (35 %) containing at least one pathological finding were selected. Findings from 5,184 frames (with their short video sequences) were extracted and delimited: 718 frames with fresh blood, 3,097 frames with vascular lesions, and 1,369 frames with inflammatory and ulcerative lesions. Twenty-thousand normal frames were extracted from 206 SB-CE normal videos. CAD-CAP has already been used for development of automated tools for angiectasia detection and also for two international challenges on medical computerized analysis.
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Details
- Title
- CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy
- Publication Details
- ENDOSCOPY INTERNATIONAL OPEN, v 8(3), pp E415-E420
- Publisher
- GEORG THIEME VERLAG KG; STUTTGART
- Grant note
- The CAD-CP database was developed with the support of the Societe Nationale Francaise de Gastroenterologie (SNFGE, grant FARE) and with the support of MSD France.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000518020700026
- Other Identifier
- 991021860776904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Gastroenterology & Hepatology
- Surgery