Table 4.
Study | Year | Datasets | No. of Patients |
Performance | Image Modalities |
Time/ Equipment |
Category | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Dice (%) | ASD (mm) | HD (mm) | 95HD (mm) | VE (%) | Sen (%)/PPV (%) | |||||||
Chuang [45] | 2019 | In-house | 54 + 20 | — | — | — | — | — | CT | 3–8 h/CPU | Atlas-based | |
Mencarelli [46] | 2014 | In-house | 188 | — | — | — | — | — | — | CT | — | Atlas-based |
Chen [47] | 2015 | PDDCA | 40 | — | — | — | — | CT | 100 min/CPU | Atlas-based | ||
Han [48] | 2008 | In-house | 10 | — | — | — | — | — | CT | 1 h/CPU | Atlas-based | |
Wang [49] | 2014 | In-house | 13 + 30 | — | — | — | CBCT + CT | — | Atlas-based | |||
Zhang [50] | 2007 | In-house | 7 | — | — | — | — | CT | — | Atlas-based | ||
Qazi [51] | 2011 | In-house | 25 | — | — | — | — | CT | 12 min/CPU | Atlas-based | ||
Gorthi [52] | 2009 | MICCAI 2009 | 18 | — | — | — | — | CT | — | Atlas-based | ||
Han [53] | 2009 | MICCAI 2009 | 18 | — | — | — | — | CT | 1 min/GPU | Atlas-based | ||
Ayyalusamy [54] | 2019 | In-house | 40 | — | — | — | — | CT | — | Atlas-based | ||
Haq [55] | 2019 | In-house PDDCA | 45 32 |
|
— | — |
|
|
— | CT | — | Atlas-based |
Liu [56] | 2016 | In-house | 6 | — | — | — | — | — | CT | 10 min/— | Atlas-based | |
Zhu [57] | 2013 | In-house | 32 | — | — | — | — | CT | 11.1 min/— | Atlas-based | ||
Walker [58] | 2014 | In-house | 40 | — | — | — | — | — | CT | 19.7 min/— | Atlas-based | |
McCarroll [59] | 2018 | In-house | 128 | — | — | — | CT | 11.5 min/CPU | Atlas-based | |||
La Macchia [60] | 2012 | In-house | 5 | — | — | — |
/ |
CT | 10.6 min/CPU | Atlas-based | ||
Zaffino [61] | 2016 | In-house | 25 | — | — | — | — | — | CT | 120 min/CPU | Atlas-based | |
Huang [62] | 2019 | In-house | 500 | — | — | — | — | — | CT | —/GPU | Atlas-based |