| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| 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 |
| 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 |