MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN

MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN

Retinal vessel segmentation is extremely important for risk prediction and treatment of many major diseases. Therefore, accurate segmentation of blood vessel features from retinal images can help assist physicians in diagnosis and treatment. Convolutional neural networks are good at extracting local...

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Bibliographic Details
Main Authors: Yun Jiang, Jing Liang, Tongtong Cheng, Xin Lin, Yuan Zhang, Jinkun Dong
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
retinal vessel segmentation
convolutional neural network
transformer
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/22/12/4592

Internet

https://www.mdpi.com/1424-8220/22/12/4592

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