| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Ivan Krsnik, Goran Glavaš, Marina Krsnik, Damir Miletić, Ivan Štajduha. Automatic Annotation of Narrative Radiology Reports. Diagnostics (Basel, Switzerland). vol 10. issue 4. 2020-09-28. PMID:32244833. |
the cnn with semantic word representations as input yielded the overall best performance, having a micro-averaged f 1 score of 86 . |
2020-09-28 |
2023-08-13 |
Not clear |
| Vignesh Raja Ponnambalam, Marianne Bakken, Richard J D Moore, Jon Glenn Omholt Gjevestad, Pål Johan Fro. Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields. Sensors (Basel, Switzerland). vol 20. issue 18. 2020-09-21. PMID:32937939. |
here we present a visual guidance pipeline for an agri-robot operating in strawberry fields in norway that is based on semantic segmentation with a convolution neural network (cnn) to segment input rgb images into crop and not-crop (i.e., drivable terrain) regions. |
2020-09-21 |
2023-08-13 |
Not clear |
| Xuelong Li, Dawei Song, Yongsheng Don. Hierarchical Feature Fusion Network for Salient Object Detection. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2020-09-21. PMID:32946391. |
cnn can generate great saliency maps because it can obtain high-level semantic information. |
2020-09-21 |
2023-08-13 |
Not clear |
| Kamal M Othman, Ahmad B Ra. Sequential Localizing and Mapping: A Navigation Strategy via Enhanced Subsumption Architecture. Sensors (Basel, Switzerland). vol 20. issue 17. 2020-09-03. PMID:32858928. |
the component of the system includes several modules, such as doorway detection and room localization via convolutional neural network (cnn), avoiding obstacles via reinforcement learning, passing the doorway via canny edge's detection, building an abstract map called a directional semantic topological map (dst-map) within the knowledge system, and other predefined layers within the subsumption architecture. |
2020-09-03 |
2023-08-13 |
Not clear |
| F Casalegno, T Newton, R Daher, M Abdelaziz, A Lodi-Rizzini, F Schürmann, I Krejci, H Markra. Caries Detection with Near-Infrared Transillumination Using Deep Learning. Journal of dental research. vol 98. issue 11. 2020-07-22. PMID:31449759. |
our method is based on a convolutional neural network (cnn) trained on a semantic segmentation task. |
2020-07-22 |
2023-08-13 |
Not clear |
| Luo Wang, Xueming Qian, Yuting Zhang, Jialie Shen, Xiaochun Ca. Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking. IEEE transactions on cybernetics. vol 50. issue 7. 2020-06-22. PMID:30892258. |
enhancing sketch-based image retrieval by cnn semantic re-ranking. |
2020-06-22 |
2023-08-13 |
Not clear |
| Luo Wang, Xueming Qian, Yuting Zhang, Jialie Shen, Xiaochun Ca. Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking. IEEE transactions on cybernetics. vol 50. issue 7. 2020-06-22. PMID:30892258. |
this paper introduces a convolutional neural network (cnn) semantic re-ranking system to enhance the performance of sketch-based image retrieval (sbir). |
2020-06-22 |
2023-08-13 |
Not clear |
| Luo Wang, Xueming Qian, Yuting Zhang, Jialie Shen, Xiaochun Ca. Enhancing Sketch-Based Image Retrieval by CNN Semantic Re-ranking. IEEE transactions on cybernetics. vol 50. issue 7. 2020-06-22. PMID:30892258. |
through training dual cnn models, the semantic information of both the sketches and natural images is captured by deep learning. |
2020-06-22 |
2023-08-13 |
Not clear |
| Wenxin Dai, Yuqing Mao, Rongao Yuan, Yijing Liu, Xuemei Pu, Chuan L. A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex Background. Sensors (Basel, Switzerland). vol 20. issue 9. 2020-05-13. PMID:32365747. |
based on the feature representation strategy, the cnn framework constructed can significantly enhance the location and semantics information for the multiscale ships, in particular for the small ships. |
2020-05-13 |
2023-08-13 |
Not clear |
| Yang Mi, Xingyuan Zhang, Zhongguo Li, Song Wan. Dual-Branch Network with a Subtle Motion Detector for Microaction Recognition in Videos. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2020-05-01. PMID:32356750. |
high-layer cnn features usually contain more semantic information but less detailed information. |
2020-05-01 |
2023-08-13 |
Not clear |
| Graham Roberts, Simon Y Haile, Rajat Sainju, Danny J Edwards, Brian Hutchinson, Yuanyuan Zh. Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels. Scientific reports. vol 9. issue 1. 2020-04-27. PMID:31484940. |
here, building upon an advanced defect imaging mode that offers high feature clarity, we introduce defectsegnet - a new convolutional neural network (cnn) architecture that performs semantic segmentation of three common crystallographic defects in structural alloys: dislocation lines, precipitates and voids. |
2020-04-27 |
2023-08-13 |
human |
| Fei Yi, Yi-Fei Zhao, Guan-Qun Sheng, Kai Xie, Chang Wen, Xin-Gong Tang, Xuan Q. Dual Model Medical Invoices Recognition. Sensors (Basel, Switzerland). vol 19. issue 20. 2020-03-16. PMID:31658617. |
in terms of the identification methods, we not only adopted the optimized aa-cnn for identification, but also combined rnn to carry out the semantic revisions of the identified results of cnn, meanwhile further improving the recognition rate of the medical invoices. |
2020-03-16 |
2023-08-13 |
Not clear |
| Yan Huang, Qi Wu, Wei Wang, Liang Wan. Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE transactions on pattern analysis and machine intelligence. vol 42. issue 3. 2020-03-09. PMID:30507493. |
given an image, we first use a multi-regional multi-label cnn to predict its included semantic concepts in terms of object, property and action. |
2020-03-09 |
2023-08-13 |
Not clear |
| Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Shee. Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2019. 2020-03-03. PMID:31946064. |
the method employs recent developments in convolutional neural networks (cnn) for semantic segmentation in medical images. |
2020-03-03 |
2023-08-13 |
Not clear |
| Tao Zheng, Yimei Gao, Fei Wang, Chenhao Fan, Xingzhi Fu, Mei Li, Ya Zhang, Shaodian Zhang, Handong M. Detection of medical text semantic similarity based on convolutional neural network. BMC medical informatics and decision making. vol 19. issue 1. 2020-02-26. PMID:31391038. |
in this paper, we propose a convolutional neural network (cnn) based method which can better utilize semantic information contained in report texts to accelerate the retrieving process. |
2020-02-26 |
2023-08-13 |
Not clear |
| Di Lin, Ruimao Zhang, Yuanfeng Ji, Ping Li, Hui Huan. SCN: Switchable Context Network for Semantic Segmentation of RGB-D Images. IEEE transactions on cybernetics. vol 50. issue 3. 2020-02-20. PMID:30582564. |
while deep convolutional neural networks (cnns) have been successful in solving semantic segmentation, we encounter the problem of optimizing cnn training for the informative context using depth data to enhance the segmentation accuracy. |
2020-02-20 |
2023-08-13 |
Not clear |
| Rahul Paul, Matthew Schabath, Yoganand Balagurunathan, Ying Liu, Qian Li, Robert Gillies, Lawrence O Hall, Dmitry B Goldgo. Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features. Tomography (Ann Arbor, Mich.). vol 5. issue 1. 2020-02-03. PMID:30854457. |
we discovered that 26 deep features from the vgg-s neural network and 12 deep features from our trained cnn could be explained by semantic or traditional quantitative features. |
2020-02-03 |
2023-08-13 |
Not clear |
| Jiemin Zhai, Huiqi L. An Improved Full Convolutional Network Combined with Conditional Random Fields for Brain MR Image Segmentation Algorithm and its 3D Visualization Analysis. Journal of medical systems. vol 43. issue 9. 2020-01-29. PMID:31338693. |
firstly, we extract semantic information by cnn with the attention module and get the coarse segmentation results through a specific pixel-level classifier. |
2020-01-29 |
2023-08-13 |
Not clear |
| Chanjun Chun, Seung-Ki Ry. Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning. Sensors (Basel, Switzerland). vol 19. issue 24. 2019-12-17. PMID:31842513. |
moreover, the cnn model is trained in the form of a semantic segmentation using the deep convolutional autoencoder. |
2019-12-17 |
2023-08-13 |
Not clear |
| Sheng Guo, Weilin Huang, Limin Wang, Yu Qia. Locally Supervised Deep Hybrid Model for Scene Recognition. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 26. issue 2. 2019-11-20. PMID:28113936. |
the deep features obtained at the top fully connected layer of the cnn (fc-features) exhibit rich global semantic information and are extremely effective in image classification. |
2019-11-20 |
2023-08-13 |
Not clear |