Dual-feature Fusion Attention Network for Small Object Segmentation

• Published in: Computers in biology and medicine Vol. 160; p. 106985
• Main Authors: Fei, Xin, Li, Xiaojie, Shi, Canghong, Ren, Hongping, Mumtaz, Imran, Guo, Jun, Wu, Yu, luo, Yong, Lv, Jiancheng, Wu, Xi
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.06.2023; Elsevier Limited
• Subjects: Accuracy; Artificial neural networks; Boundaries; Complementarity; Dual-branch feature fusion; Humans; Image enhancement; Image processing; Image Processing, Computer-Assisted; Image segmentation; Internal Medicine; Medical imaging; Modules; Multi-resolution features; Neural networks; Neural Networks, Computer; Other; Polyps; Radiation therapy; Radiologists; Reverse attention; Small object segmentation; Small object segmentation; Dual-branch feature fusion; Multi-resolution features; Reverse attention

Accurate segmentation of medical images is an important step during radiotherapy planning and clinical diagnosis. However, manually marking organ or lesion boundaries is tedious, time-consuming, and prone to error due to subjective variability of radiologist. Automatic segmentation remains a challen...