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A survey on attention mechanisms for medical applications: are we moving toward better algorithms?
The increasing popularity of attention mechanisms in deep learning algorithms for computer
vision and natural language processing made these models attractive to other research …
vision and natural language processing made these models attractive to other research …
Attention mechanisms in medical image segmentation: A survey
Medical image segmentation plays an important role in computer-aided diagnosis. Attention
mechanisms that distinguish important parts from irrelevant parts have been widely used in …
mechanisms that distinguish important parts from irrelevant parts have been widely used in …
DR-VNet: retinal vessel segmentation via dense residual UNet
Accurate retinal vessel segmentation is an important task for many computer-aided
diagnosis systems. Yet, it is still a challenging problem due to the complex vessel structures …
diagnosis systems. Yet, it is still a challenging problem due to the complex vessel structures …
[HTML][HTML] MTPA_Unet: Multi-scale transformer-position attention retinal vessel segmentation network joint transformer and CNN
Y Jiang, J Liang, T Cheng, X Lin, Y Zhang, J Dong - Sensors, 2022 - mdpi.com
Retinal vessel segmentation is extremely important for risk prediction and treatment of many
major diseases. Therefore, accurate segmentation of blood vessel features from retinal …
major diseases. Therefore, accurate segmentation of blood vessel features from retinal …
BCR-UNet: Bi-directional ConvLSTM residual U-Net for retinal blood vessel segmentation
Background High precision segmentation of retinal blood vessels from retinal images is a
significant step for doctors to diagnose many diseases such as glaucoma and …
significant step for doctors to diagnose many diseases such as glaucoma and …
Advances in attention mechanisms for medical image segmentation
J Zhang, X Chen, B Yang, Q Guan, Q Chen… - Computer Science …, 2025 - Elsevier
Medical image segmentation plays an important role in computer-aided diagnosis. Attention
mechanisms that distinguish important parts from irrelevant parts have been widely used in …
mechanisms that distinguish important parts from irrelevant parts have been widely used in …
Robust segmentation of vascular network using deeply cascaded AReN-UNet
Retinal vessel segmentation is an essential step for non-invasive diagnosis and analysis of
ocular pathologies such as diabetic retinopathy, glaucoma, etc. Although several deep …
ocular pathologies such as diabetic retinopathy, glaucoma, etc. Although several deep …
Atrous residual convolutional neural network based on U-Net for retinal vessel segmentation
J Wu, Y Liu, Y Zhu, Z Li - PLoS One, 2022 - journals.plos.org
Extracting features of retinal vessels from fundus images plays an essential role in computer-
aided diagnosis of diseases, such as diabetes, hypertension, and cerebrovascular diseases …
aided diagnosis of diseases, such as diabetes, hypertension, and cerebrovascular diseases …
SERR‐U‐Net: Squeeze‐and‐Excitation Residual and Recurrent Block‐Based U‐Net for Automatic Vessel Segmentation in Retinal Image
Background and Objective. Accurate segmentation of retinal vessels is considered as an
important prerequisite for computer‐aided diagnosis of ophthalmic diseases, diabetes …
important prerequisite for computer‐aided diagnosis of ophthalmic diseases, diabetes …
LC-MANet: Location-constrained joint optic disc and cup segmentation via multiplex aggregation network
Many early ophthalmology-related diseases can be detected through fundus images. The
cup-to-disc ratio (CDR) is an important criterion for the early screening and diagnosis of …
cup-to-disc ratio (CDR) is an important criterion for the early screening and diagnosis of …