An efficient built-up land expansion model using a modified U-Net
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2021.2017035
Abstract: ABSTRACT This paper introduces an improved convolutional neural network based on the conventional U-Net for simulating built-up land expansion. The proposed method hires a pixel-wise semantic segmentation approach considering the spatial drivers affecting urbanization as… read more here.
Keywords: model; built land; modified net; land expansion ... See more keywords
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3181132
Abstract: Deep learning techniques, particularly convolutional neural networks, have shown great potential in computer vision and medical imaging applications. However, deep learning models are computationally demanding as they require enormous computational power and specialized processing hardware… read more here.
Keywords: image segmentation; modified net; medical image; segmentation ... See more keywords
Heterogeneous iris segmentation method based on modified U-Net
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.6.063015
Abstract: Abstract. An accurate iris segmentation method is crucial for the iris recognition system. The conventional iris segmentation algorithms have poor adaptability when applied to heterogeneous iris databases. Therefore, researchers have applied deep learning to the… read more here.
Keywords: modified net; segmentation method; iris segmentation; heterogeneous iris ... See more keywords