U-Net medical image contour automatic extraction network fusing attention mechanism

• Main Authors: CHEN HAOYUAN, ZHAN YINWEI, CHEN RONGJUN, XIONG JIANBIN, LIN KAIHAN, ZHAO HUIMIN, LYU JUJIAN
• Format: Patent
• Language: Chinese; English
• Published: 14.10.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses an attention mechanism fused U-Net medical image contour automatic extraction network, which comprises an RGB image input module, the output end of the RGB image input module is connected to the input end of a feature extraction module, and the feature extraction module comprises a feature coding module, a feature decoding module and an attention module; the output end of the feature extraction module is connected to the input end of the MLP, and the attention module comprises space attention and channel attention and is used for inhibiting neurons of a non-attention area; an MLP output element is set to be two neurons which represent the probabilities of the foreground and the background respectively, and Softmax and Marking Square are sequentially connected behind the two neurons. The attention module is fused, the edge contour extraction precision is improved, the problem that a traditional frame generates fuzzy edges is preliminarily solved, interference of background noise is redu