Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks

Table 4

Comparisons with previous work.

Reference	Cancer type	Image type	Classifier	Accuracy (%)	Precision (%)	Recall (%)	F-measure (%)
[41]	Colon	Histopathological	SVMs	—	73.7	68.2	70.8
[43]	Colon	Histopathological	SC-CNN	—	78.3	82.7	80.2
[32]	Colon	Histopathological	RI′	99		94	—
[3]	Colon	Colonoscopy	AlexNet	91.47	—	91.76	—
[47]	Colon	Histopathological	RI′	85.3	—	—	85.2
[21]	Colon	Colonoscopy	Faster R-CNN	98.5	100	98.5	99.24
[22]	Colon	Colonoscopy	CNN	96.4	—	93	—
[1]	Colon	Colonoscopy	CNN	90.28	74.34	68.32	71.2
[30]	Colon	Histopathological	RESNET-50	93.91	95.74	96.77	96.26
[29]	Colon	Histopathological	CNN	96.61	—	—	—
Proposed	Colon	Histopathological	DCNN	99.80	100	99.59	99.80