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

图7 KNet-ColoSeg 模型在外部测试集上对新息肉图像的预测结果 Note： This figure consists of four columns, including the original polyp images (A, E and I), the model's prediction output (B, F and J), a view of the model's predictions superimposed on the original images (C, G and K), and the confusion matrix for the prediction of individual images (D, H and L).

Fig 7 Prediction results of KNet-ColoSeg model for new polyp images in an external test dataset