Algorithm for Pathological Image Diagnosis Based on Boosting Convolutional Neural Network

Table 1. Patch-level and image-level diagnosis accuracies of kidney, lung and spleen%
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Table 1. Patch-level and image-level diagnosis accuracies of kidney, lung and spleen%
Method Kidney Lung Spleen
Patch Image Patch Image Patch Image
Basic classifier 82.80 92.73 91.31 98.18 90.98 98.18
Proposed 84.15 93.64 93.31 99.09 92.10 98.18

Table 2. Diagnosis results of kidney, lung and spleen images%

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Table 2. Diagnosis results of kidney, lung and spleen images%

Class	Kidney		Lung		Spleen		Method
Class	Healthy	Inflammatory		Healthy	Inflammatory	Healthy	Inflammatory
	88.19	11.81	84.55	15.45	91.47	8.53	PoE
Healthy	88.21	11.79	96.52	3.48	92.88	7.12	DFDL
	96.36	3.64	99.09	0.91	100.00	0.00	Proposed
	14.96	85.04	7.32	92.68	10.08	89.92	PoE
Inflammatory	9.92	90.08	2.57	97.43	7.89	92.11	DFDL
	7.28	92.72	0.00	100.00	1.82	98.18	Proposed

Table 3. Patch-level diagnosis accuracies of images in Camelyon16 dataset%
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Table 3. Patch-level diagnosis accuracies of images in Camelyon16 dataset%
Method Accuracy
IMBC 92.1
IMSLN 92.7
Proposed 93.3

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Ting Meng, Yuhang Liu, Kaiyu Zhang. Algorithm for Pathological Image Diagnosis Based on Boosting Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(8): 081001

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