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Soul: An OCTA dataset based on Human Machine Collaborative Annotation Framework.

Jingyan Xue1, Zhenhua Feng2, Lili Zeng1

  • 1School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100044, China.

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|August 2, 2024
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Summary
This summary is machine-generated.

A new dataset, Soul, and a human-machine annotation framework were developed for branch retinal vein occlusion (BRVO) research. This resource aids in analyzing retinal vascular diseases using advanced imaging techniques like OCTA.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Branch retinal vein occlusion (BRVO) is a leading cause of vision impairment due to increased venous pressure.
  • Optical Coherence Tomography Angiography (OCTA) provides high-resolution 3D retinal vasculature imaging.
  • Existing datasets lack focus on BRVO and comprehensive annotation, hindering research.

Purpose of the Study:

  • To introduce the Soul dataset, specifically curated for BRVO research.
  • To propose a Human-Machine Collaborative Annotation Framework (HMCAF) for efficient data labeling.
  • To facilitate machine learning applications in analyzing retinal vascular diseases.

Main Methods:

  • Development of the Soul dataset, comprising original images, blood vessel labels, and clinical data.
  • Categorization of the dataset into 6 subsets based on injection frequency and follow-up duration.
  • Implementation of HMCAF for annotating scrambled retinal blood vessel data.

Main Results:

  • Creation of a specialized BRVO dataset (Soul) with diverse subsets.
  • Establishment of a collaborative framework (HMCAF) for efficient and accurate annotation.
  • Provision of a valuable resource for machine learning model development in ophthalmology.

Conclusions:

  • The Soul dataset and HMCAF offer a significant advancement for BRVO research.
  • This resource enables more effective machine learning-driven analysis of retinal vascular diseases.
  • Future studies can leverage this dataset for improved diagnostic and prognostic tools.