Harmonizing Unets: Attention Fusion module in cascaded-Unets for low-quality OCT image fluid segmentation

Optical coherence tomography (OCT) is widely used for its high resolution. Accurate OCT image segmentation can significantly improve the diagnosis and treatment of retinal diseases such as Diabetic Macular Edema (DME). However, in resource-limited regions, portable devices with low-quality output ar...

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Veröffentlicht in:	Computers in biology and medicine 2024-12, Vol.183, p.109223, Article 109223
Hauptverfasser:	Wu, Zhuoyu, Wu, Qinchen, Fang, Wenqi, Ou, Wenhui, Wang, Quanjun, Zhang, Linde, Chen, Chao, Wang, Zheng, Li, Heshan
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Accuracy Algorithms Artificial intelligence Biology Comparative studies Computers Datasets Deep learning Diabetes Diabetes mellitus Diabetic Retinopathy - diagnostic imaging Edema Efficiency Fusion module Humans Image processing Image Processing, Computer-Assisted - methods Image quality Image resolution Image segmentation Intraretinal fluid detection Low income groups Macular Edema - diagnostic imaging Medical image segmentation Medical imaging Medicine Modules Optical Coherence Tomography Portable equipment Public health Tomography Tomography, Optical Coherence - methods
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