| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Dimitrios Bellos, Mark Basham, Tony Pridmore, Andrew P Frenc. Temporal refinement of 3D CNN semantic segmentations on 4D time-series of undersampled tomograms using hidden Markov models. Scientific reports. vol 11. issue 1. 2021-12-07. PMID:34857791. |
temporal refinement of 3d cnn semantic segmentations on 4d time-series of undersampled tomograms using hidden markov models. |
2021-12-07 |
2023-08-13 |
Not clear |
| Kevin C Choy, Guorong Li, W Daniel Stamer, Sina Farsi. Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images. Experimental eye research. 2021-11-18. PMID:34793828. |
a novel convolutional neural network (cnn) for semantic segmentation grounded in a u-net architecture was developed by incorporating a late fusion scheme, multi-scale input image pyramid, dilated residual convolution blocks, and attention-gating. |
2021-11-18 |
2023-08-13 |
mouse |
| Yang Li, Chengbo Yi. Application of Dual-Channel Convolutional Neural Network Algorithm in Semantic Feature Analysis of English Text Big Data. Computational intelligence and neuroscience. vol 2021. 2021-11-17. PMID:34782834. |
under the comparative analysis of gru nn + dual-channel cnn model and lstm nn + dual-channel cnn model, gru nn + dual-channel cnn model ensures the high accuracy of semantic feature analysis and improves the analysis speed of the model. |
2021-11-17 |
2023-08-13 |
Not clear |
| Yang Li, Chengbo Yi. Application of Dual-Channel Convolutional Neural Network Algorithm in Semantic Feature Analysis of English Text Big Data. Computational intelligence and neuroscience. vol 2021. 2021-11-17. PMID:34782834. |
further, after the attention mechanism is added to the gru nn + dual-channel cnn model, the accuracy of semantic feature analysis of the model is improved by nearly 1.3%. |
2021-11-17 |
2023-08-13 |
Not clear |
| Lucas O Teixeira, Rodolfo M Pereira, Diego Bertolini, Luiz S Oliveira, Loris Nanni, George D C Cavalcanti, Yandre M G Cost. Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. Sensors (Basel, Switzerland). vol 21. issue 21. 2021-11-16. PMID:34770423. |
semantic segmentation was performed using a u-net cnn architecture, and the classification using three cnn architectures (vgg, resnet, and inception). |
2021-11-16 |
2023-08-13 |
Not clear |
| Jing Li, Dongliang Chen, Ning Yu, Ziping Zhao, Zhihan L. Emotion Recognition of Chinese Paintings at the Thirteenth National Exhibition of Fines Arts in China Based on Advanced Affective Computing. Frontiers in psychology. vol 12. 2021-11-10. PMID:34744913. |
aiming at the problem of "semantic gap" in the emotion recognition task of images such as traditional chinese painting, the study selects the alexnet algorithm based on convolutional neural network (cnn), and further improves the alexnet algorithm. |
2021-11-10 |
2023-08-13 |
Not clear |
| Jamie Roche, Varuna De-Silva, Ahmet Kondo. A Multimodal Perception-Driven Self Evolving Autonomous Ground Vehicle. IEEE transactions on cybernetics. vol PP. 2021-10-11. PMID:34623290. |
deeplabv3+ [1] is a state-of-the-art semantic segmentation model composed of a cnn and an autodecoder. |
2021-10-11 |
2023-08-13 |
human |
| Huijuan Wu, Chaoqun Wang, Xinyu Liu, DengKe Gan, Yimeng Liu, Yunjiang Rao, Abdulafeez Olawale Olaribigb. Intelligent target recognition for distributed acoustic sensors by using both manual and deep features. Applied optics. vol 60. issue 23. 2021-10-07. PMID:34613169. |
the manual features are first extracted in the time domain, frequency domain, semantic domain, and from dynamic models, which are fused with the deep features extracted by a four-layer 1d convolutional neural network (cnn) through feature engineering. |
2021-10-07 |
2023-08-13 |
Not clear |
| Rui Fan, Hengli Wang, Yuan Wang, Ming Liu, Ioannis Pita. Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-09-29. PMID:34559648. |
additionally, inspired by graph neural network (gnn), we propose a novel cnn layer, referred to as graph attention layer (gal), which can be easily deployed in any existing cnn to optimize image feature representations for semantic segmentation. |
2021-09-29 |
2023-08-13 |
Not clear |
| Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wan. Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE journal of biomedical and health informatics. vol 24. issue 11. 2021-09-24. PMID:32790636. |
multi-receptive-field cnn for semantic segmentation of medical images. |
2021-09-24 |
2023-08-13 |
Not clear |
| Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wan. Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE journal of biomedical and health informatics. vol 24. issue 11. 2021-09-24. PMID:32790636. |
the context-based convolutional neural network (cnn) is one of the most well-known cnns to improve the performance of semantic segmentation. |
2021-09-24 |
2023-08-13 |
Not clear |
| G Anthony Reina, Ravi Panchumarthy, Siddhesh Pravin Thakur, Alexei Bastidas, Spyridon Baka. Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation. Frontiers in neuroscience. vol 14. 2021-09-15. PMID:32116512. |
finally, we compare 2d and 3d semantic segmentation models to show that providing cnn models with a wider context of the image in all three dimensions leads to more accurate and consistent predictions. |
2021-09-15 |
2023-08-13 |
Not clear |
| Jincheng Zhang, Prashant Ganesh, Kyle Volle, Andrew Willis, Kevin Brin. Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM. Sensors (Basel, Switzerland). vol 21. issue 16. 2021-08-31. PMID:34450841. |
this contribution is coupled with a convolutional neural network (cnn) that extracts semantic information. |
2021-08-31 |
2023-08-13 |
Not clear |
| Jincheng Zhang, Prashant Ganesh, Kyle Volle, Andrew Willis, Kevin Brin. Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM. Sensors (Basel, Switzerland). vol 21. issue 16. 2021-08-31. PMID:34450841. |
additionally, we extend maps with semantic information predicted from sparse geometries (planes) by a cnn. |
2021-08-31 |
2023-08-13 |
Not clear |
| Chenglong Li, Wei Xia, Yan Yan, Bin Luo, Jin Tan. Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation. IEEE transactions on neural networks and learning systems. vol 32. issue 7. 2021-07-07. PMID:32726284. |
segmenting objects in day and night: edge-conditioned cnn for thermal image semantic segmentation. |
2021-07-07 |
2023-08-13 |
Not clear |
| Xi Lu, Zejun You, Miaomiao Sun, Jing Wu, Zhihong Zhan. Breast cancer mitotic cell detection using cascade convolutional neural network with U-Net. Mathematical biosciences and engineering : MBE. vol 18. issue 1. 2021-06-21. PMID:33525113. |
in order to solve the above problems, we propose a new cascaded convolutional neural network ubcnn (cascaded cnn based on unet), which consists of three parts: semantic segmentation and classification to detect mitosis. |
2021-06-21 |
2023-08-13 |
Not clear |
| Aocheng Li, Jie Guo, Yanwen Gu. Image Stitching Based on Semantic Planar Region Consensus. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 30. 2021-06-15. PMID:34101592. |
clearly different from previous methods resorting to plane segmentation, the key to our approach is to utilize rich semantic information directly from rgb images to extract semantic planar image regions with a deep convolutional neural network (cnn). |
2021-06-15 |
2023-08-13 |
Not clear |
| Bingfeng Zhang, Jimin Xiao, Jianbo Jiao, Yunchao Wei, Yao Zha. Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2021-05-26. PMID:34033532. |
following previous practices, we first generate pseudo semantic-aware seeds, which are then formed into semantic graphs based on our newly proposed affinity convolutional neural network (cnn). |
2021-05-26 |
2023-08-13 |
human |
| Qi Wang, Tao Han, Zequn Qin, Junyu Gao, Xuelong L. Multitask Attention Network for Lane Detection and Fitting. IEEE transactions on neural networks and learning systems. vol PP. 2021-05-21. PMID:33290231. |
in this work, we propose a novel multitask method that: 1) integrates the ability to model semantic information of cnn and the strong localization ability provided by handcrafted features and 2) predicts the position of vanishing line. |
2021-05-21 |
2023-08-13 |
Not clear |
| Dhanush Dharmaretnam, Chris Foster, Alona Fysh. Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks. Neural networks : the official journal of the International Neural Network Society. vol 137. 2021-05-21. PMID:33556802. |
namely, we show that the representational spaces of several distributional semantic models bear a remarkable resemblance to several convolutional neural network (cnn) architectures (trained for image classification). |
2021-05-21 |
2023-08-13 |
Not clear |