基于深度学习的结直肠息肉内镜图像分割和分类方法比较

陈健, 王珍妮, 夏开建, 王甘红, 刘罗杰, 徐晓丹

Comparative study on methods for colon polyp endoscopic image segmentation and classification based on deep learning

CHEN Jian, WANG Zhenni, XIA Kaijian, WANG Ganhong, LIU Luojie, XU Xiaodan

表1 4种模型在测试集上的分类预测性能指标（%）

Tab 1 Performance metrics for classification predictions of the four models in the test dataset （%）

Model Category IoU Acc Dice Fscore Precision Recall Fast-SCNN Background 97.74 99.02 98.86 98.86 98.70 99.02 Serrated lesion 59.08 71.13 74.27 74.27 77.70 71.13 Adenomatous polyp 69.15 81.24 81.76 81.76 82.30 81.24 DeepLabV3plus Background 98.26 98.96 99.12 99.12 99.28 98.96 Serrated lesion 63.63 83.38 77.78 77.78 72.88 83.38 Adenomatous polyp 74.00 84.02 85.06 85.06 86.12 84.02 Segformer Background 98.20 99.6 99.09 99.09 98.60 99.60 Serrated lesion 67.22 71.95 80.39 80.39 91.09 71.95 Adenomatous polyp 75.09 82.57 85.77 85.77 89.23 82.57 KNet Background 98.91 99.50 99.45 99.45 99.40 99.50 Serrated lesion 74.12 87.33 85.14 85.14 83.05 87.33 Adenomatous polyp 80.73 86.88 89.34 89.34 91.94 86.88