Evaluation gaps in ML Practice: table

[msrepo]

Description

A Table for Evaluation gaps in Biplanar X-ray to 3D Segmentation similar to the above table will help argument for the paper and give evidence for evaluation gaps.

Tasks

Include specific tasks in the order they need to be done in. Include links to specific lines of code where the task should happen at.

• List relevant papers
• define rows and columns for the table
• fill up the table

[msrepo]

Adapted from Evaluation Gaps in Machine Learning Practice
We selected Papers dealing with X-ray to 3D Segmentation using Deep Learning. These papers were published from ... year onwards. We coded each of the papers along two dimensions.

1. Metrics: which evaluation metrics were reported?
2. Analysis: were error bars and/or confidence interval reported? was statistical significance of differences reported? were examples of model performance provided to complement measurements with qualitative information ? was error analysis performed?