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This study investigated whether geometric accuracy (as quantified by several commonly used metrics) was associated with dosimetric differences for the parotid and larynx, comparing automatically generated contours against manually drawn ground truth contours. This enabled the suitability of different commonly used metrics to be assessed for measuring automatic segmentation accuracy of the parotid and larynx. Parotid and larynx structures for 10 head and neck patients were outlined by five clinicians to create ground truth structures. An automatic segmentation algorithm was used to create automatically generated normal structures, which were then used to create volumetric\u2010modulated arc therapy plans. The mean doses to the automatically generated structures were compared with those of the corresponding ground truth structures, and the relative difference in mean dose was calculated for each structure. It was found that this difference did not correlate with the geometric accuracy provided by several metrics, notably the Dice similarity coefficient, which is a commonly used measure of spatial overlap. Surface\u2010based metrics provided stronger correlation and are, therefore, more suitable for assessing automatic segmentation of the parotid and larynx.<\/jats:p>\n                  <jats:p>PACS number(s): 87.57.nm, 87.55.D, 87.55.Qr<\/jats:p>","DOI":"10.1120\/jacmp.v17i2.5889","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T19:27:51Z","timestamp":1488223671000},"page":"41-49","source":"Crossref","is-referenced-by-count":22,"title":["The suitability of common metrics for assessing parotid and larynx autosegmentation accuracy"],"prefix":"10.1002","volume":"17","author":[{"given":"William J.","family":"Beasley","sequence":"first","affiliation":[{"name":"Institute of Cancer Sciences The University of Manchester  Manchester UK"},{"name":"Christie Medical Physics and Engineering The Christie NHS Foundation Trust  Manchester 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