Dense Attention-Guided Cascaded Network for Salient Object Detection of Strip Steel Surface Defects
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3132082
Abstract: Recently, more and more researchers have paid attention to the surface defect detection of strip steel. However, the performance of existing methods usually fails to detect the defect regions from some complex scenes, especially with… read more here.
Keywords: dense attention; deep features; strip steel; surface ... See more keywords
Dense & Attention Convolutional Neural Networks for Toe Walking Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3272362
Abstract: Idiopathic toe walking (ITW) is a gait disorder where children’s initial contacts show limited or no heel touch during the gait cycle. Toe walking can lead to poor balance, increased risk of falling or tripping,… read more here.
Keywords: toe walking; dense attention; attention convolutional; proposed approach ... See more keywords
Multi-dimensional dense attention network for pixel-wise segmentation of optic disc in colour fundus images
Sign Up to like & getrecommendations! Published in 2024 at "Technology and Health Care"
DOI: 10.3233/thc-230310
Abstract: BACKGROUND: Segmentation of retinal fragments like blood vessels, Optic Disc (OD), and Optic Cup (OC) enables the early detection of different retinal pathologies like Diabetic Retinopathy (DR), Glaucoma, etc. OBJECTIVE: Accurate segmentation of OD remains… read more here.
Keywords: optic disc; segmentation; attention; dense attention ... See more keywords
Development of Novel Residual-Dense-Attention (RDA) U-Net Network Architecture for Hepatocellular Carcinoma Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12081916
Abstract: The research was based on the image recognition technology of artificial intelligence, which is expected to assist physicians in making correct decisions through deep learning. The liver dataset used in this study was derived from… read more here.
Keywords: dense attention; attention rda; dense; residual dense ... See more keywords