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Retinal Microsurgery
Retinal Microsurgery
The Retinal Microsurgery dataset is a dataset for surgical instrument tracking. It consists of 18 in-vivo sequences, each with 200 frames of resolution 1920 × 1080 pixels. The dataset is further classified into four instrument-dependent subsets. The annotated tool joints are n=3 and semantic classes c=2 (tool and background).
Computer Aided Medical Procedures (CAMP), TU Munich, Germany
View author website
Task
Medical Images
Annotation Types
Semantic Segmentation
3600
Items
200
Classes
3600
Labels
Models using this dataset
Last updated on
January 20, 2022
Licensed under
Research Only
