期刊
PROCEEDINGS OF THE 9TH ACM MULTIMEDIA SYSTEMS CONFERENCE (MMSYS'18)
卷 -, 期 -, 页码 421-425出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3204949.3208137
关键词
medical data sets; surgical actions; ophthalmology; medical multimedia; multimedia information systems
资金
- Universitat Klagenfurt
- Lakeside Labs GmbH, Klagenfurt, Austria
- European Regional Development Fund
- Carinthian Economic Promotion Fund (KWF) [KWF 20214 u. 3520/26336/38165]
Cataract surgery is one of the most frequently performed microscopic surgeries in the field of ophthalmology. The goal behind this kind of surgery is to replace the human eye lense with an artificial one, an intervention that is often required due to aging. The entire surgery is performed under microscopy, but co-mounted cameras allow to record and archive the procedure. Currently, the recorded videos are used in a postoperative manner for documentation and training. An additional benefit of recording cataract videos is that they enable video analytics (i.e., manual and/or automatic video content analysis) to investigate medically relevant research questions (e.g., the cause of complications). This, however, necessitates a medical multimedia information system trained and evaluated on existing data, which is currently not publicly available. In this work we provide a public video dataset of 101 cataract surgeries that were performed by four different surgeons over a period of 9 months. These surgeons are grouped into moderately experienced and highly experienced surgeons (assistant vs. senior physicians), providing the basis for experience-based video analytics. All videos have been annotated with quasi-standardized operation phases by a senior ophthalmic surgeon.
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