Search Results - DeepLabv3+ Convolutional Neural Network

Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform by Gao, Guining, Chen, Zhihan, Wei, Yicheng, Zhu, Xicun, Yu, Xinyang

“… This study enhanced the DeepLabv3+ model to achieve superior performance in apple orchard identification by incorporating ResNet, optimizing the algorithm, and adjusting hyperparameter configuration using the PIE-Engine cloud platform…”
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Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network by Li, Yane, Chen, Zhichao, Qi, Hongxia, Fan, Ming, Li, Lihua

“… To address this, this paper proposes a semantic segmentation network based on a hybrid architecture of convolutional neural network and Transformer, named shuffle window transformer DeeplabV3+ (SWT-DeepLabV3…”
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High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+ Method by Shen, Chen, Liu, Liantao, Zhu, Lingxiao, Kang, Jia, Wang, Nan, Shao, Limin

“…+ convolutional neural network (CNN) architecture…”
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Lithology Identification of Improved Model based on DeepLabv3 + Deep Convolutional Neural Network by Wang, Ju, Yin, Senlin, Hu, Zhangming, Bai, Kai

“…Aiming at the complexity of outcrop lithology identification, an improved outcrop lithology identification algorithm based on DeepLabv3 + is proposed…”
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Crack Detection on Concrete Surfaces Using Deep Encoder-Decoder Convolutional Neural Network: A Comparison Study Between U-Net and DeepLabV3 by Hadinata, Patrick Nicholas, Simanta, Djoni, Eddy, Liyanto, Nagai, Kohei

“… Convolutional neural network (CNN), a subset of artificial intelligence, is used to detect cracks on concrete surfaces through semantic image segmentation…”
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Intelligent Recognition and Segmentation of Blunt Craniocerebral Injury CT Images Based on DeepLabV3+ Model by Qin, Hao-Jie, Liu, Yuan-Yuan, Fu, En-Hao, Liu, Ya-Wen, Tian, Zhi-Ling, Dong, He-Wen, Liu, Tai-Ang, Zou, Dong-Hua, Cheng, Yi-Bin, Liu, Ning-Guo

“… (hereinafter referred to as "segmentation") by training convolutional neural network DeepLabV3…”
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Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network by Polat, Hasan

“…COVID-19 is a deadly outbreak that has been declared a public health emergency of international concern. The massive damage of the disease to public health,…”
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Hedgerow map of Bavaria, Germany, based on orthophotos and convolutional neural networks by Huber-García, Verena, Kriese, Jennifer, Asam, Sarah, Dirscherl, Mariel, Stellmach, Michael, Buchner, Johanna, Kerler, Kristel, Gessner, Ursula

“…Hedgerows play a significant role in biodiversity preservation, carbon sequestration, soil stability and the ecological integrity of rural landscapes…”
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Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches by Wagh, Ameya, Jain, Shubham, Mukherjee, Apratim, Agu, Emmanuel, Pedersen, Peder C., Strong, Diane, Tulu, Bengisu, Lindsay, Clifford, Liu, Ziyang

“… FCN, U-Net and DeepLabV3 are Convolutional Neural Networks used for semantic segmentation…”
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Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network by Amin, Javeria, Anjum, Muhammad Almas, Sharif, Muhammad, Rehman, Amjad, Saba, Tanzila, Zahra, Rida

“… In this reported research, three‐phase model is proposed for COVID‐19 detection. In Phase I, noise is removed from CT images using a denoise convolutional neural network (DnCNN…”
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Automatic Segmentation of Finger Bone Regions from CR Images Using Improved DeepLabv3 by Ono, Hikaru, Murakami, Seiichi, Kamiya, Tohru, Aoki, Takatoshi

“…The number of hospitalized patients and the number of people requiring nursing care are serious social problems in Japan due to the increasing elderly…”
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Snow detection in alpine regions with Convolutional Neural Networks: discriminating snow from cold clouds and water body by Lu, Yichen, James, Thomas, Schillaci, Calogero, Lipani, Aldo

“… Convolutional neural networks ensemble model with DeepLabV3+ was employed as sub-models for snow segmentation using (Sentinel-2…”
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mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments by Baban A Erep, Thierry Roland, Chaari, Lotfi

“…Recent decades have witnessed the development of vision-based dietary assessment (VBDA) systems. These systems generally consist of three main stages: food…”
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Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks by Valverde, Juan Miguel, Shatillo, Artem, De Feo, Riccardo, Tohka, Jussi

“… on the available resources. We optimized MedicDeepLabv3+ and six other state-of-the-art convolutional neural networks (DeepLabv3…”
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Leveraging DeepLabV3+ for Lung Region Delineation in Chest Radiographs using Convolutional Neural Network Approach by Raman, Ramakrishnan, Kumar, Vikram, Pillai, Biju G., Rabadiya, Dhaval, Divekar, Rajiv, Vachharajani, Hardik

“…The advent of deep learning technologies has revolutionized the field of medical imaging, particularly through the application of sophisticated convolutional neural network (CNN…”
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Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks by Skovsen, Søren Kelstrup, Laursen, Morten Stigaard, Kristensen, Rebekka Kjeldgaard, Rasmussen, Jim, Dyrmann, Mads, Eriksen, Jørgen, Gislum, René, Jørgensen, Rasmus Nyholm, Karstoft, Henrik

“…+ based convolutional neural network. Data collection has been performed at four separate experimental plot trial sites over three growing seasons…”
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An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement by Ji, Ankang, Xue, Xiaolong, Wang, Yuna, Luo, Xiaowei, Xue, Weirui

“… To address this problem, we propose an integrated approach based on the convolutional neural network DeepLabv3…”
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Convolutional neural networks for urban green areas semantic segmentation on Sentinel-2 data by Pešek, Ondřej, Brodský, Lukáš, Halounová, Lena, Landa, Martin, Bouček, Tomáš

“… Various convolutional neural network architectures (FCN, U-Net, SegNet, DeepLabv3+) were evaluated on open and widely accessible Sentinel-2 data for semantic…”
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Convolutional neural networks for road surface classification on aerial imagery by Pesek, Ondrej, Krisztian, Lina, Landa, Martin, Metz, Markus, Neteler, Markus

“…), U-Net, SegNet, DeepLabv3+) on this task. We find that convolutional neural network (CNN…”
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A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography by Elsharkawy, Mohamed, Sharafeldeen, Ahmed, Khalifa, Fahmi, Soliman, Ahmed, Elnakib, Ahmed, Ghazal, Mohammed, Sewelam, Ashraf, Thanos, Aristomenis, Sandhu, Harpal S., El-Baz, Ayman

“…) detection of merged retina layers using a novel convolutional neural network model; (iii) drusen detection based on 2D…”
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