GTCreator

GTCreator streamlines annotation of image-based datasets for quantitative evaluation of decision support systems in healthcare, including polyp detection in colonoscopy videos.

Key Features:

• Simultaneous Multi-Annotator Support: Enables multiple annotators to work concurrently on the same dataset to accelerate label collection and consensus building.
• Enhanced Dataset Browsing: Provides advanced navigation and indexing capabilities to manage and inspect large image collections.
• Annotation Transfer: Supports transferring annotations between different parts of a dataset or across projects to reuse and propagate labels.
• Full Annotation Editing and Review: Offers complete editing and review functionalities for annotations to refine ground truth labels.

Scientific Applications:

• Evaluation of Decision Support Systems: Facilitates creation of ground truth datasets and benchmarking of image-based decision support algorithms in healthcare.
• Polyp Detection in Colonoscopy Videos: Supports annotation and performance assessment workflows for polyp detection methods applied to colonoscopy video datasets.
• Experimental Setup and Results Analysis: Supports clinicians and researchers in preparing labeled datasets for experimental design and analyzing algorithmic performance.

Methodology:

The methodology emphasizes speed and accuracy in annotation processes and retains core annotation functionalities found in similar tools.