| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Lun Zhang, Junhua Zhang, Zonggui Li, Yingchao Son. A multiple-channel and atrous convolution network for ultrasound image segmentation. Medical physics. vol 47. issue 12. 2021-05-14. PMID:33007105. |
we propose an end-to-end, multiple-channel and atrous cnn designed to extract a greater amount of semantic information for segmentation of ultrasound images. |
2021-05-14 |
2023-08-13 |
Not clear |
| Hong Song, Syed Raza Mehdi, Yangfan Zhang, Yichun Shentu, Qixin Wan, Wenxin Wang, Kazim Raza, Hui Huan. Development of Coral Investigation System Based on Semantic Segmentation of Single-Channel Images. Sensors (Basel, Switzerland). vol 21. issue 5. 2021-04-27. PMID:33800839. |
based on single-channel images, a convolutional neural network (cnn) model, named deeperlabc, is employed for the semantic segmentation of corals, which is a concise and modified deeperlab model with encoder-decoder architecture. |
2021-04-27 |
2023-08-13 |
Not clear |
| Ritabrata Sanyal, Devroop Kar, Ram Sarka. Carcinoma type classification from high-resolution breast microscopy images using a hybrid ensemble of deep convolutional features and gradient boosting trees classifiers. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2021-04-05. PMID:33819160. |
due to semantic complexity of the patch images, a single cnn architecture may not always extract high quality features, and the traditional softmax classifier might not provide ideal results for classifying the cnn extracted features. |
2021-04-05 |
2023-08-13 |
Not clear |
| Liangjiang Yu, Guoliang Fa. Multimedia tools and applications. vol 80. issue 2. 2021-04-01. PMID:33776547. |
third, the proposed framework incorporates both shape information and the cnn architecture into semantic labeling through a fusion of probabilistic multi-class likelihood. |
2021-04-01 |
2023-08-13 |
Not clear |
| Ruixin Yang, Yingyan Y. Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis. Frontiers in oncology. vol 11. 2021-03-27. PMID:33768000. |
cnn and its extension algorithms play important roles on medical imaging classification, object detection, and semantic segmentation. |
2021-03-27 |
2023-08-13 |
Not clear |
| Hehe Fan, Ping Liu, Mingliang Xu, Yi Yan. Unsupervised Visual Representation Learning via Dual-Level Progressive Similar Instance Selection. IEEE transactions on cybernetics. vol PP. 2021-03-12. PMID:33705334. |
as cnn models become stronger, the semantic meaning of each instance grows clearer. |
2021-03-12 |
2023-08-13 |
human |
| Yilin Deng, Sang-Yun Han, Jianyi Li, Jinjin Rong, Wenyu Fan, Tiancong Su. The design of tourism product CAD three-dimensional modeling system using VR technology. PloS one. vol 15. issue 12. 2021-03-05. PMID:33370346. |
meanwhile, based on single view rgb-d image, the latest convolutional neural network (cnn) algorithm and point cloud processing algorithm are used to design the indoor 3d scene reconstruction algorithm based on semantic understanding. |
2021-03-05 |
2023-08-13 |
Not clear |
| Gustavo Calderon-Auza, Cesar Carrillo-Gomez, Mariko Nakano, Karina Toscano-Medina, Hector Perez-Meana, Ana Gonzalez-H Leon, Hugo Quiroz-Mercad. A Teleophthalmology Support System Based on the Visibility of Retinal Elements Using the CNNs. Sensors (Basel, Switzerland). vol 20. issue 10. 2021-03-01. PMID:32429400. |
this paper proposes a teleophthalmology support system in which we use algorithms of object detection and semantic segmentation, such as faster region-based cnn (fr-cnn) and segnet, based on several cnn architectures such as: vgg16, mobilenet, alexnet, etc. |
2021-03-01 |
2023-08-13 |
Not clear |
| Mandar Dixit, Yunsheng Li, Nuno Vasconcelo. Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes. IEEE transactions on pattern analysis and machine intelligence. vol 42. issue 12. 2021-02-11. PMID:31180842. |
a bag-of-semantics (bos) representation is first induced, by feeding scene image patches to the object cnn, and representing the scene image by the ensuing bag of posterior class probability vectors (semantic posteriors). |
2021-02-11 |
2023-08-13 |
Not clear |
| Wenbo Sun, Zhi Gao, Jinqiang Cui, Bharath Ramesh, Bin Zhang, Ziyao L. Semantic Segmentation Leveraging Simultaneous Depth Estimation. Sensors (Basel, Switzerland). vol 21. issue 3. 2021-01-28. PMID:33498358. |
specifically, we estimate depth information on rgb images via a depth estimation network, and then feed the depth map into the cnn which is able to guide the semantic segmentation. |
2021-01-28 |
2023-08-13 |
Not clear |
| Gloria Bueno, M Milagro Fernandez-Carrobles, Lucia Gonzalez-Lopez, Oscar Deni. Glomerulosclerosis identification in whole slide images using semantic segmentation. Computer methods and programs in biomedicine. vol 184. 2021-01-06. PMID:31891905. |
in this paper, semantic segmentation based on convolutional neural networks (cnn) is proposed to detect glomeruli using whole slide imaging (wsi) follows by a classification cnn to divide the glomeruli into normal and sclerosed. |
2021-01-06 |
2023-08-13 |
Not clear |
| Shengtai Zhu, Zhongming Zang, Xianmin Wang, Yue Wang, Xulongqi Wang, Dong Li. Phase unwrapping in ICF target interferometric measurement via deep learning. Applied optics. vol 60. issue 1. 2020-12-29. PMID:33362067. |
with a deep convolutional neural network (cnn), the task of phase unwrapping is transferred into a problem of semantic segmentation. |
2020-12-29 |
2023-08-13 |
Not clear |
| Zhanghui Liu, Yudong Zhang, Yuzhong Chen, Xinwen Fan, Chen Don. Detection of Algorithmically Generated Domain Names Using the Recurrent Convolutional Neural Network with Spatial Pyramid Pooling. Entropy (Basel, Switzerland). vol 22. issue 9. 2020-12-10. PMID:33286827. |
the recurrent convolutional neural network combines a convolutional neural network (cnn) and a bi-directional long short-term memory network (bi-lstm) to extract both the semantic and contextual information from domain names. |
2020-12-10 |
2023-08-13 |
Not clear |
| Paul Kirkland, Gaetano Di Caterina, John Soraghan, George Matic. Perception Understanding Action: Adding Understanding to the Perception Action Cycle With Spiking Segmentation. Frontiers in neurorobotics. vol 14. 2020-11-17. PMID:33192434. |
object detection, identification and tracking along with semantic segmentation and attention are all modern computer vision tasks in which convolutional neural networks (cnn) have shown significant success, although such networks often have a large computational overhead and power requirements, which are not ideal in smaller robotics tasks. |
2020-11-17 |
2023-08-13 |
Not clear |
| Jianjun Du, Xianju Lu, Jiangchuan Fan, Yajuan Qin, Xiaozeng Yang, Xinyu Gu. Image-Based High-Throughput Detection and Phenotype Evaluation Method for Multiple Lettuce Varieties. Frontiers in plant science. vol 11. 2020-10-31. PMID:33123178. |
multistage cnn models for object detection and semantic segmentation were integrated to bridge the gap between image capture and plant phenotyping. |
2020-10-31 |
2023-08-13 |
Not clear |
| Yuchao Wu, Lan Lin, Jingxuan Wang, Shuicai W. [Application of semantic segmentation based on convolutional neural network in medical images]. Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. vol 37. issue 3. 2020-10-23. PMID:32597097. |
therefore, semantic segmentation based on cnn has also become a key high-level task in medical image understanding. |
2020-10-23 |
2023-08-13 |
Not clear |
| Yuchao Wu, Lan Lin, Jingxuan Wang, Shuicai W. [Application of semantic segmentation based on convolutional neural network in medical images]. Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. vol 37. issue 3. 2020-10-23. PMID:32597097. |
finally, the open challenges and potential development direction of semantic segmentation based on cnn in the area of medical image are discussed. |
2020-10-23 |
2023-08-13 |
Not clear |
| Chi Zhang, Kai Qiao, Linyuan Wang, Li Tong, Ying Zeng, Bin Ya. Constraint-Free Natural Image Reconstruction From fMRI Signals Based on Convolutional Neural Network. Frontiers in human neuroscience. vol 12. 2020-10-01. PMID:29988371. |
without semantic prior information, we present a novel method to reconstruct natural images from the fmri signals of human visual cortex based on the computation model of convolutional neural network (cnn). |
2020-10-01 |
2023-08-13 |
human |
| Tianrui Liu, Tania Stathak. Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network. Frontiers in neurorobotics. vol 12. 2020-09-29. PMID:30344486. |
in this paper, we propose a region-based cnn method which makes use of semantic cues for better pedestrian detection. |
2020-09-29 |
2023-08-13 |
Not clear |
| 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. |
after primary preprocessing of the texts, two sets of text classification methods were compared: (1) traditional classification models-naive bayes (nb), logistic regression (lr), support vector machine (svm), and random forests (rf)-coupled with bag-of-words (bow) features (i.e., symbolic text representation) and (2) convolutional neural network (cnn) coupled with dense word vectors (i.e., word embeddings as a semantic text representation) as input features. |
2020-09-28 |
2023-08-13 |
Not clear |