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. 2023 Dec 4;10(12):485. doi: 10.3390/jcdd10120485

Table 1.

Characteristics of UNet and conventional systems for CAD.

A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13
SN Studies TP SM HT AU L EC DC SC LF PL DSC PV JI
1 He et al. [44] 2 - - U 5 3 3 -
2 Jin et al. [95] 5 - - C - - - - - - - -
3 Ibtehaz et al. [45] 1 - - U 5 5 5 √- - -
4 Balakrishna et al. [46] 1 - - U 5 5 5 - -
5 Kim et al. [48] 1 - - U 5 5 5 -
6 Li et al. [47] 1 - - U 5 4 4 - -
7 Chen et al. [49] 1 - - U 5 3 3 - -
8 Tong et al. [50] 1 - - U 5 3 3 - -
9 Morris et al. [51] 1 - - U 5 4 4 - -
10 Zhou et al. [52] 1 - - U 5 5 5 - -
11 Milletari et al. [53] 1 - - U 5 5 5 - - -
12 Szarski et al. [54] 1 - - U 5 5 5 - -
13 Vercio et al. [65] 0 - - C - - - - - - - -
14 Yang et al. [55] 1 - - U 5 4 4 -√ - -
15 Shen et al. [56] 5 - - U 5 4 4 - -
16 Javorszky et al. [57] 5 - - U 5 4 4 - -
17 Momin et al. [58] 5 - - U 5 3 3 - - -
18 Guo et al. [99] 5 U 5 4 4 -
19 Huang et al. [67] 5 - - U 5 5 5 -
20 Jun et al. [100] 0 - - U 5 5 5 - - -
21 Shi et al. [64] 0 - - U 5 5 5 - - -
22 Thuy et al. [68] 0 - - U 5 4 4 - -
23 Hwang et al. [69] 0 - - U 5 5 5 - - - - - -
24 Cheung et al. [60] 5 - - U 5 5 5 - - -
25 Dong et al. [61] 3 - - U 5 8 8 - - -
26 Pan et al. [70] 0 - - U 5 4 4 -
27 Song et al. [24] 5 - - U 5 4 4 - -
28 Shinohara et al. [62] 3 - - U 5 5 5 -
29 Yang et al. [55] 0 - - U 5 5 5 - -
30 Xia et al. [71] 0 - - U 5 5 5 - -
31 Azad et al. [72] 4 - - U 5 4 4 - - - -
32 Ronneberger et al. [73] 0 - - U 5 4 4 - - -
33 Bajaj et al. [74] 1 - C - - - - - - -
34 Cho et al. [75] 5 - - C - - - - - - -
35 Araki et al. [26] 2 - - C - - - - - -
36 Bajaj et al. [76] 2 - - C - - - - - - - -
37 Fedewa et al. [77] 0 - - C - - - - - - - - -
38 Masuda et al. [78] 5 - - C - - - - - - - -
39 Min et al. [79] 1 - C - - - - - - -
40 Nishi et al. [80] 2 - - C - - - - -
41 Shin et al. [111] 2 - - C - - - - - - - -
42 Olender et al. [81] 1 - - C - - - - - - -
43 Zhao et al. [82] 2 - - C - - - - - - - -
44 Bargsten et al. [83] 1 - - C - - - - - - -
45 Samuel et al. [96] 3 - C - - - - - - -
46 Faraji et al. [28] 1 - - C - - - - - - - -
47 Tayel et al. [84] 1 - - C - - - - - - - - -
48 Cui et al. [85] 1 - - C - - - - - - - -
49 Harms et al. [86] 5 - - C - - - - - - -
50 Mishra et al. [87] 0 - - C - - - - - -
51 Lin et al. [97] 5 - - C - - - - - - -
52 Du et al. [98] 0 - - C - - - - - -
53 Hwang et al. [69] 2 - - C - - - - - - - - -
54 Jodas et al. [88] 0 - - C - - - - - - -
55 Eslamizadeh et al. [89] 0 - - C - - - - - - - - -
56 Sofian et al. [90] 1 - - C - - - - - - - -
57 Cao et al. [91] 3 - - C - - - - - -
58 Taki et al. [92] 1 - - C - - - - - - - - -
59 Unal et al. [93] 0 - - C - - - - - - - - -
60 Zhu et al. [94] 0 - - C - - - - - - - - -
A14 A15 A16 A17 A18 A19 A20 A21 A22 A23 A24 A25 A26
SN Studies HD Val LR BS EPO OPT DA Acc. Pres. RS SN SP CE
1 He et al. [44] - - - - - - - - - S
2 Jin et al. [95] - - - - - - - M
3 Ibtehaz et al. [45] - - - - - - - - - M
4 Balakrishna et al. [46] - - - - - - - S
5 Kim et al. [48] - - - - - - - S
6 Li et al. [47] - - - - - S
7 Chen et al. [49] - - - - - - - - - - - S
8 Tong et al. [50] - - - - - - - - - S
9 Morris et al. [51] - - - - - - - - S
10 Zhou et al. [52] - - - - - - - - - - S
11 Milletari et al. [53] - - - - - - - S
12 Szarski et al. [54] - - - - - - S
13 Vercio et al. [65] - - - - - - - - - - - S
14 Yang et al. [55] - - - - - - S
15 Shen et al. [56] - - - - - - - - S
16 Javorszky et al. [57] - - - - - - - - - - - S
17 Momin et al. [58] - - - - - - M
18 Guo et al. [99] - - - - - - - - - S
19 Huang et al. [67] - - - - - - S
20 Jun et al. [100] - - - - - - - S
21 Shi et al. [64] - - - - - - - - - - S
22 Thuy et al. [68] - - - - - - - - - - S
23 Hwang et al. [69] - - - - - - - - - S
24 Cheung et al. [60] - - - - - - - - - S
25 Dong et al. [61] - - - - - - - - S
26 Pan et al. [70] - - - - - - - - - - - - S
27 Song et al. [24] - - - - - - S
28 Shinohara et al. [62] - - - - - S
29 Yang et al. [55] - - - - - S
30 Xia et al. [71] - - - - - - - S
31 Azad et al. [72] - - - - - - - - S
32 Ronneberger et al. [73] - - - - - - - - - - S
33 Bajaj et al. [74] - - - - - - - S
34 Cho et al. [75] - - - - S
35 Araki et al. [26] - - - - - - - - - - - S
36 Bajaj et al. [76] - - - - - - - - S
37 Fedewa et al. [77] - - - - - - - - - - - - S
38 Masuda et al. [78] - - - - - - - - - S
39 Min et al. [79] - - - - - S
40 Nishi et al. [80] - - - - - - - - S
41 Shin et al. [111] - - - - - - - - - - - - S
42 Olender et al. [81] - - - - - - - S
43 Zhao et al. [82] - - - - - - - S
44 Bargsten et al. [83] - - - - - - - S
45 Samuel et al. [96] - - - - - M
46 Faraji et al. [28] - - - - - - - - - - - S
47 Tayel et al. [84] - - - - - - - - - - - S
48 Cui et al. [85] - - - - - - - - - - - - S
49 Harms et al. [86] - - - - - - S
50 Mishra et al. [87] - - - - - - - S
51 Lin et al. [97] - - - - - - - - - - M
52 Du et al. [98] - - - - - - - M
53 Hwang et al. [69] - - - - - - - - - S
54 Jodas et al. [88] - - - - - - - - - - - S
55 Eslamizadeh et al. [89] - - - - - - - - - - - S
56 Sofian et al. [90] - - - - - - - - - - - S
57 Cao et al. [91] - - - - - - - - - - - - S
58 Taki et al. [92] - - - - - - - - - - - - S
59 Unal et al. [93] - - - - - - - - - - - - S
60 Zhu et al. [94] - - - - - - - - - - - S

TP, total patients; SM, smoking; HT, hypertension; AU, architecture used; L, layers; EC, encoder; DC, decoder; SC, skip connection; LF, loss function; Pool, pooling; DSC, Dice similarity coefficient; SN, sensitivity; SP, specificity; JI, Jaccard index; HD, Hausdorff distance; Acc, accuracy; PV, p-value; Pres, precision; RS, recall score; Val, validation; LR, learning rate; BS, batch size; Epo, epochs; OPT, optimization; DA, data augmentation; CE, clinical evaluation; U, UNet; C, conventional; S, single center; M, multicenter; √ implies that a particular attribute (column) was implemented in that study (row).