| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Lim Yi, Braulio Félix Gómez, Balakrishnan Ramalingam, Madan Mohan Rayguru, Mohan Rajesh Elara, Abdullah Aamir Haya. Self-reconfigurable robot vision pipeline for safer adaptation to varying pavements width and surface conditions. Scientific reports. vol 12. issue 1. 2022-08-25. PMID:36008439. |
the deeplabv3+ semantic segmentation algorithm was customized to identify the pavement type classification, an eight-layer cnn was proposed for pavement surface condition prediction. |
2022-08-25 |
2023-08-14 |
Not clear |
| Yang Li, Jia Ze Li, Qi Fan, Xin Li, Zhihong Wan. Psychological Education Health Assessment Problems Based on Improved Constructive Neural Network. Frontiers in psychology. vol 13. 2022-08-19. PMID:35983201. |
in order to better assess the mental health status, combining online text data and considering the problems of lexicon sparsity and small lexicon size in feature statistics of word frequency of the traditional linguistic inquiry and word count (liwc) dictionary, and combining the advantages of constructive neural network (cnn) convolutional neural network in contextual semantic extraction, a cnn-based mental health assessment method is proposed and evaluated with the measurement indicators in clpsych2017. |
2022-08-19 |
2023-08-14 |
Not clear |
| Degaga Wolde Feyisa, Taye Girma Debelee, Yehualashet Megersa Ayano, Samuel Rahimeto Kebede, Tariku Fekadu Assor. Lightweight Multireceptive Field CNN for 12-Lead ECG Signal Classification. Computational intelligence and neuroscience. vol 2022. 2022-08-18. PMID:35978890. |
in many detection tasks ranging from semantic segmentation of medical images to time-series data classification, multireceptive field cnn has improved performance. |
2022-08-18 |
2023-08-14 |
Not clear |
| Bin Fan, Junjie Zhou, Wensen Feng, Huayan Pu, Yuzhu Yang, Qingqun Kong, Fuchao Wu, Hongmin Li. Learning Semantic-aware Local Features for Long Term Visual Localization. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2022-07-13. PMID:35830407. |
based on a state of the art cnn architecture for local feature learning, i.e., aslfeat, this paper leverages on the semantic information from an off-the-shelf semantic segmentation network to learn semantic-aware feature maps. |
2022-07-13 |
2023-08-14 |
human |
| Hangfeng Lin, Naiqing B. A CNN-Based Framework for Predicting Public Emotion and Multi-Level Behaviors Based on Network Public Opinion. Frontiers in psychology. vol 13. 2022-07-11. PMID:35814112. |
(2) to make the extracted feature semantic information more comprehensive, cnn and tf-idf-cor are combined to form an effective cor-cnn model for emotion and mental health prediction. |
2022-07-11 |
2023-08-14 |
Not clear |
| Mesfer Al Duhayyim, Hanan Abdullah Mengash, Radwa Marzouk, Mohamed K Nour, Hany Mahgoub, Fahd Althukair, Abdullah Mohame. Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification. Computational intelligence and neuroscience. vol 2022. 2022-07-11. PMID:35814569. |
in contrast to classical image-dependent "semantic" feature evaluation from human expertise, deep learning techniques could learn feature representation automatically from sample images using convolutional neural network (cnn). |
2022-07-11 |
2023-08-14 |
human |
| Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Pietro Benzi, Giorgio Gregory Giordano, Marta De Vecchi, Valentina Campagnari, Shunlei Li, Luca Guastini, Alberto Paderno, Sara Moccia, Cesare Piazza, Leonardo S Mattos, Giorgio Perett. Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic Images. Frontiers in oncology. vol 12. 2022-06-20. PMID:35719939. |
this study is aimed to develop a cnn for automatic semantic segmentation of uadt cancer on endoscopic images. |
2022-06-20 |
2023-08-14 |
Not clear |
| Paveen Virameteeku. Paragraph-level attention based deep model for chapter segmentation. PeerJ. Computer science. vol 8. 2022-06-20. PMID:35721402. |
we first utilized a pre-trained xlnet model connected to a convolutional neural network (cnn) to extract the semantic meaning of each paragraph. |
2022-06-20 |
2023-08-14 |
Not clear |
| Juncheng Guo, Yuyan Wu, Lizhi Chen, Shangbin Long, Daqi Chen, Haibing Ouyang, Chunliang Zhang, Yadong Tang, Wenlong Wan. A perspective on the diagnosis of cracked tooth: imaging modalities evolve to AI-based analysis. Biomedical engineering online. vol 21. issue 1. 2022-06-15. PMID:35706023. |
what's more, ai-based crack detection and classification methods, especially the convolutional neural network (cnn)-based algorithms, including image classification (alexnet), object detection (yolo, faster-rcnn), semantic segmentation (u-net, segnet) are comprehensively reviewed. |
2022-06-15 |
2023-08-14 |
Not clear |
| Érika G de Assis, Zenilton K G do Patrocínio, Cristiane Neri Nobr. The Use of Convolutional Neural Networks in the Prediction of Invasive Ductal Carcinoma in Histological Images of Breast Cancer. Studies in health technology and informatics. vol 290. 2022-06-08. PMID:35673084. |
the method proposed in this work is a convolutional neural network (cnn) for visual semantic analysis of tumor regions for diagnostic support. |
2022-06-08 |
2023-08-14 |
Not clear |
| Jiang Liu, Yan Zhang, Danjv Lv, Jing Lu, Shanshan Xie, Jiali Zi, Yue Yin, Haifeng X. Birdsong classification based on ensemble multi-scale convolutional neural network. Scientific reports. vol 12. issue 1. 2022-05-23. PMID:35606386. |
however, as the number of network layers increases in traditional cnn, semantic information gradually becomes richer and detailed information disappears. |
2022-05-23 |
2023-08-13 |
Not clear |
| Jiayi Fan, Wentao Xie, Tiantian G. Automatic Gray Image Coloring Method Based on Convolutional Network. Computational intelligence and neuroscience. vol 2022. 2022-05-06. PMID:35515498. |
firstly, cnn is used to extract their semantic information, respectively. |
2022-05-06 |
2023-08-13 |
Not clear |
| Jiayi Fan, Wentao Xie, Tiantian G. Automatic Gray Image Coloring Method Based on Convolutional Network. Computational intelligence and neuroscience. vol 2022. 2022-05-06. PMID:35515498. |
during the transformation, images combined with semantic information are input into cnn model to obtain the content feature map of grayscale image and the style feature map of reference image. |
2022-05-06 |
2023-08-13 |
Not clear |
| Wei Wang, Yuxi Kang, Guanqun Liu, Xin Wan. SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images. Computational intelligence and neuroscience. vol 2022. 2022-04-20. PMID:35440946. |
on the basis of cdeconv, a convolutional neural network (cnn) with a channel attention mechanism for semantic segmentation is proposed as a channel upsampling network (scu-net). |
2022-04-20 |
2023-08-13 |
Not clear |
| Fred Fu, Angela Guenther, Ali Sakhdari, Trevor D McKee, Daniel Xi. Deep Learning Accurately Quantifies Plasma Cell Percentages on CD138-Stained Bone Marrow Samples. Journal of pathology informatics. vol 13. 2022-03-04. PMID:35242448. |
we trained a semantic segmentation-based convolutional neural network (cnn) using annotations of cd138+ and cd138- cells provided by one pathologist on small image patches of bone marrow and validated the cnn on an independent test set of image patches using annotations from two pathologists and a non-deep learning commercial software. |
2022-03-04 |
2023-08-13 |
Not clear |
| Jiachen Zhong, Junying Chen, Ajmal Mia. DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks. IEEE transactions on neural networks and learning systems. vol PP. 2022-03-01. PMID:35230955. |
dualconv can be employed in any cnn model such as vgg-16 and resnet-50 for image classification, you only look once (yolo) and r-cnn for object detection, or fully convolutional network (fcn) for semantic segmentation. |
2022-03-01 |
2023-08-13 |
Not clear |
| José E Valdez-Rodríguez, Hiram Calvo, Edgardo Felipe-Riverón, Marco A Moreno-Armendári. Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model. Sensors (Basel, Switzerland). vol 22. issue 4. 2022-02-26. PMID:35214571. |
improving depth estimation by embedding semantic segmentation: a hybrid cnn model. |
2022-02-26 |
2023-08-13 |
Not clear |
| José E Valdez-Rodríguez, Hiram Calvo, Edgardo Felipe-Riverón, Marco A Moreno-Armendári. Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model. Sensors (Basel, Switzerland). vol 22. issue 4. 2022-02-26. PMID:35214571. |
to alleviate this problem, we propose the use of a semantic segmentation procedure that adds information to a depth estimator, in this case, a 3d convolutional neural network (cnn)-segmentation is coded as one-hot planes representing categories of objects. |
2022-02-26 |
2023-08-13 |
Not clear |
| José E Valdez-Rodríguez, Hiram Calvo, Edgardo Felipe-Riverón, Marco A Moreno-Armendári. Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model. Sensors (Basel, Switzerland). vol 22. issue 4. 2022-02-26. PMID:35214571. |
particularly, we propose a hybrid 2d-3d cnn architecture capable of obtaining semantic segmentation and depth estimation at the same time. |
2022-02-26 |
2023-08-13 |
Not clear |
| David J Acunzo, Daniel M Low, Scott L Fairhal. Deep neural networks reveal topic-level representations of sentences in medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrus. NeuroImage. 2022-02-17. PMID:35176493. |
we constructed a topic-level sentence representations using the final layer of a convolutional neural network (cnn) trained to classify wikipedia sentences into broad semantic categories. |
2022-02-17 |
2023-08-13 |
human |