Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization

Table 3

Subacute disease class performance comparison of different methods (percent).

Network	DenseNet121	ResNet101	InceptionV3	VGG19	MVGG	GoogleNet	SDAE	Proposed
Recall	98.17	97.33	89.17	94.00	92.50	92.83	95.33	100.00
Precision	96.88	96.21	93.04	94.31	90.54	96.20	93.77	98.68
Accuracy	98.75	98.38	95.63	97.08	95.71	97.29	97.25	99.67
Specificity	98.94	98.72	97.78	98.11	96.78	98.78	97.89	99.56
F1 score	97.52	96.77	91.06	94.16	91.51	94.49	94.55	99.34