Multi-scale high and low feature fusion attention network for intestinal image classification

• Published in: Signal, image and video processing Vol. 17; no. 6; pp. 2877 - 2886
• Main Authors: Li, Sheng, Zhu, Beibei, Guo, Xinran, Ye, Shufang, Ye, Jietong, Zhuang, Yongwei, He, Xiongxiong
• Format: Journal Article
• Language: English
• Published: London Springer London 01.09.2023; Springer Nature B.V
• Subjects: Classification; Computer Imaging; Computer networks; Computer Science; Datasets; Feature extraction; Image classification; Image Processing and Computer Vision; Machine learning; Medical imaging; Modules; Multimedia Information Systems; Original Paper; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Vision; Deep learning; Feature fusion; Intestinal image classification; Convolutional neural network

Accurate abnormality classification in intestinal images is critical for the diagnosis and treatment of early-stage intestinal cancers, but remains challenging due to the large intra-lesion variability and high similarity between abnormal lesions and normal tissue. To solve the above problems, a mul...