Table 5.

Study related to AI diagnosis

Author	Dataset	Technique	Accuracy
Ghoshal et al. [33]	70	CNN	92.90%
Narin et al. [70]	50 + ve, 50 -ve	ResNet50	98.00%
Zhang et al. [122]	70 + ve, 1008 other	ResNet	95.20%
Wang et al. [100]	45 + ve, 1203 -ve	CNN	83.50%
Chen et al. [18]	51 + ve, 51 -ve	UNet++	95.20%
Zheng et al. [124]	313 + ve, 229 other	UNet, CNN	95.90%
Jin et al. [46]	496 + ve, 1385 other	CNN	–
Jin et al. [45]	723 + ve, 413 other	UNet++, CNN	–
Wang et al. [106]	44 + ve, 55 -ve	CNN	82.90%
Ying et al. [117]	88 + ve, 86 -ve	ResNet50	86.00%
Xu et al. [116]	219 + ve, 175 -ve	CNN	86.70%
Li et al. [63]	468 + ve, 1445 -ve	ResNet 50	–
Shi et al. [91]	1658 + ve, 1027 -ve	RF	87.90%
Tang et al. [97]	176 + ve	RF	87.50%