Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation

Table 1 Rubric for expert scoring

Score	Grade	Criteria
3	Accept	The segmentation is acceptable for clinical treatment.
2	Minor Revision	A few minor edits of the segmentation are recommended, while the clinical impact may be not significant.
1	Major Revision	A few major edits of the segmentation are mandatory.
0	Reject	The segmentation is rejected and a redrawing is required.

ISSN: 1748-717X