Cardiac Segmentation Variable Definitions and Notation

A 5.5 KB Excel file containing notation and definitions for variables used in a semi-supervised cardiac segmentation framework. The dataset was authored by Yafei Mi and last updated in April 2026. It supports research on reducing annotation requirements for cardiac MRI segmentation.

Use Cases

• Implementing the proposed dynamic pseudo-label threshold map strategy using the defined variable notation.
• Applying robust entropy minimization as described, referencing the defined class-wise and adaptive threshold variables.
• Replicating the contrastive consistency regularization loss based on the provided framework definitions.
• Benchmarking model performance on the ACDC and MMWHS datasets using the standardized variable definitions.

Strengths

• Provides clear definitions for a novel semi-supervised framework's core variables.
• Released under a permissive CC-BY-4.0 license for open use and modification.

Limitations

• Extremely small scale at 5.5 KB, containing only definitions and no actual imaging data or model outputs.
• No sample data or row counts are provided to verify the application of the defined variables.

Provenance

Source

Figshare, authored by Yafei Mi.

Collection Method

Created as supplementary material for a proposed machine learning framework.

Time Range

null

Freshness

Last updated in April 2026, indicating current relevance to the field.

Geography

null