| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Yassine Oukdach, Anass Garbaz, Zakaria Kerkaou, Mohamed El Ansari, Lahcen Koutti, Ahmed Fouad El Ouafdi, Mouna Salihou. UViT-Seg: An Efficient ViT and U-Net-Based Framework for Accurate Colorectal Polyp Segmentation in Colonoscopy and WCE Images. Journal of imaging informatics in medicine. 2024-04-26. PMID:38671336. |
a vision transformer in the encoder section captures long-range semantic information, while a cnn module, integrating squeeze-excitation and dual attention mechanisms, captures low-level features, focusing on critical image regions. |
2024-04-26 |
2024-04-29 |
Not clear |
| Chao Ma, Yuan Gu, Ziyang Wan. TriConvUNeXt: A Pure CNN-Based Lightweight Symmetrical Network for Biomedical Image Segmentation. Journal of imaging informatics in medicine. 2024-04-23. PMID:38653912. |
specifically, a network block consisting of a depthwise cnn, a deformable cnn, and a dilated cnn is proposed to capture semantic feature information effectively while with low computational cost. |
2024-04-23 |
2024-04-26 |
Not clear |
| Leena Strauss, Arttu Junnila, Anni Wärri, Maria Manti, Yiwen Jiang, Eliisa Löyttyniemi, Elisabet Stener-Victorin, Marie K Lagerquist, Krisztina Kukoricza, Taija Heinosalo, Sami Blom, Matti Poutane. Consistent and effective method to define the mouse estrous cycle stage by deep learning based model. The Journal of endocrinology. 2024-04-09. PMID:38593833. |
the cnn was trained by supervised pixel-level multiclass semantic segmentation of image features from 171 hematoxylin-stained samples. |
2024-04-09 |
2024-04-12 |
mouse |
| b' Sam J Davidson, Taryn Saggese, Jana Kraj\\xc5\\x88\\xc3\\xa1kov\\xc3\\xa. Deep learning for automated segmentation and counting of hypocotyl and cotyledon regions in mature Frontiers in plant science. vol 15. 2024-03-18. PMID:38495377.' |
a semantic segmentation cnn was trained to assign pixels to cotyledon, hypocotyl, and background regions, while an instance segmentation network was trained to detect individual cotyledons for automated counting. |
2024-03-18 |
2024-03-20 |
Not clear |
| Adriano Barbosa Silva, Alessandro Santana Martins, Thaína Aparecida Azevedo Tosta, Adriano Mota Loyola, Sérgio Vitorino Cardoso, Leandro Alves Neves, Paulo Rogério de Faria, Marcelo Zanchetta do Nasciment. OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification. Journal of imaging informatics in medicine. 2024-02-27. PMID:38409608. |
convolutional neural network (cnn) models for semantic and instance segmentation were employed on the images, which were pre-processed with stain normalization methods. |
2024-02-27 |
2024-03-02 |
mouse |
| Yilin Shao, Long Sun, Licheng Jiao, Xu Liu, Fang Liu, Lingling Li, Shuyuan Yan. CoT: Contourlet Transformer for Hierarchical Semantic Segmentation. IEEE transactions on neural networks and learning systems. vol PP. 2024-02-26. PMID:38408011. |
the transformer-convolutional neural network (cnn) hybrid learning approach is gaining traction for balancing deep and shallow image features for hierarchical semantic segmentation. |
2024-02-26 |
2024-03-02 |
Not clear |
| Yizhuo Tang, Zhengtao Cao, Ningbo Guo, Mingyong Jian. A Siamese Swin-Unet for image change detection. Scientific reports. vol 14. issue 1. 2024-02-25. PMID:38403711. |
however, considering the locality of convolutional operation, cnn unable to master the interplay between global and distant semantic information. |
2024-02-25 |
2024-02-28 |
Not clear |
| Hao Chen, Feihong Shen, Ding Ding, Yongjian Deng, Chao L. Disentangled Cross-modal Transformer for RGB-D Salient Object Detection and Beyond. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-02-15. PMID:38354080. |
additionally, our cross-modal attention hierarchy can be plug-and-play for different backbone architectures (both transformer and cnn) and downstream tasks, and experiments on a cnn-based model and rgb-d semantic segmentation verify this generalization ability. |
2024-02-15 |
2024-02-17 |
Not clear |
| Saba Arshad, Tae-Hyoung Par. SVS-VPR: A Semantic Visual and Spatial Information-Based Hierarchical Visual Place Recognition for Autonomous Navigation in Challenging Environmental Conditions. Sensors (Basel, Switzerland). vol 24. issue 3. 2024-02-10. PMID:38339624. |
the local feature-based matching involves the extraction of robust local features from cnn possessing invariant properties against environmental conditions and a place matching method utilizing semantic, visual, and spatial information. |
2024-02-10 |
2024-02-12 |
Not clear |
| Xinyue Liu, Zhen Huang, Yulu Zhang, Yunjian Jia, Wanli We. CNN and Attention-Based Joint Source Channel Coding for Semantic Communications in WSNs. Sensors (Basel, Switzerland). vol 24. issue 3. 2024-02-10. PMID:38339674. |
cnn and attention-based joint source channel coding for semantic communications in wsns. |
2024-02-10 |
2024-02-12 |
Not clear |
| Yitong Wang, Shumin Wang, Aixia Do. A Dual-Branch Fusion Network Based on Reconstructed Transformer for Building Extraction in Remote Sensing Imagery. Sensors (Basel, Switzerland). vol 24. issue 2. 2024-01-23. PMID:38257458. |
network models based on convolutional neural network (cnn) and transformer technology have been widely used for semantic segmentation of buildings from high resolution remote sensing images (hrsi). |
2024-01-23 |
2024-01-25 |
Not clear |
| Pengfei Song, Jinjiang Li, Hui Fan, Linwei Fa. TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation. Computers in biology and medicine. vol 167. 2023-11-25. PMID:37890420. |
firstly, high-level semantic feature information of the cnn backbone branches is fused at multiple scales, and the high-level and low-level feature information complement each other's location and spatial information. |
2023-11-25 |
2023-11-28 |
Not clear |
| Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zho. 3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical image analysis. vol 91. 2023-11-05. PMID:37926035. |
then, as cnns can describe local spatial information well but have difficulty in modeling long-range dependencies in images, we further apply a transformer-based encoder to extract global semantic information in the input images and use a cnn decoder to transform the encoded features into spet images. |
2023-11-05 |
2023-11-08 |
Not clear |
| Asma Alzaid, Beth Lineham, Sanja Dogramadzi, Hemant Pandit, Alejandro F Frangi, Sheng Quan Xi. Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection. IEEE journal of biomedical and health informatics. vol PP. 2023-11-03. PMID:37922163. |
semantic segmentation based on the convolutional neural network (cnn) has demonstrated successful results in many medical segmentation tasks. |
2023-11-03 |
2023-11-08 |
human |
| Asma Alzaid, Beth Lineham, Sanja Dogramadzi, Hemant Pandit, Alejandro F Frangi, Sheng Quan Xi. Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection. IEEE journal of biomedical and health informatics. vol PP. 2023-11-03. PMID:37922163. |
we propose a multitask cnn that combines regression of pose and shape parameters constructed from the ssm and semantic segmentation of the implant. |
2023-11-03 |
2023-11-08 |
human |
| Hanyun Li, Wenzao Li, Jiacheng Zhao, Peizhen Yu, Yao Huan. A sentiment analysis approach for travel-related Chinese online review content. PeerJ. Computer science. vol 9. 2023-09-14. PMID:37705661. |
then, bilstm is used to capture the global contextual sequence features of the travel text, while cnn is used to capture the richer local semantic information. |
2023-09-14 |
2023-10-07 |
Not clear |
| Chao Zhang, Stephan Liwicki, Sen He, William Smith, Roberto Cipoll. HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input. IEEE transactions on pattern analysis and machine intelligence. vol PP. 2023-08-23. PMID:37607141. |
as our design is free of distortions and discontinuity, our orientation-aware cnn becomes a new state of the art for semantic segmentation on the recent 2d3ds dataset, and the omni-directional version of synthia introduced in this work. |
2023-08-23 |
2023-09-07 |
Not clear |
| Haiyan Li, Jiayu Ding, Xin Shi, Qi Zhang, Pengfei Yu, Hongsong L. D-SAT: dual semantic aggregation transformer with dual attention for medical image segmentation. Physics in medicine and biology. 2023-08-22. PMID:37607559. |
firstly, the dual-semantic feature aggregation (dfa) module is designed to build a bridge between cnn and transformer, effectively aggregating cnn's local feature detail ability and transformer's long-range modeling ability to mitigate semantic information loss. |
2023-08-22 |
2023-09-07 |
Not clear |
| Zhentao Hu, Yanyang Li, Zheng Wang, Shuo Zhang, Wei Ho. Conv-Swinformer: Integration of CNN and shift window attention for Alzheimer's disease classification. Computers in biology and medicine. vol 164. 2023-08-07. PMID:37549456. |
the cnn module summarizes the planar features of the mri slices, and the transformer module establishes semantic connections in 3d space for these planar features. |
2023-08-07 |
2023-08-14 |
Not clear |
| Tao Yan, Ye Ying Qin, Pak Kin Wong, Hao Ren, Chi Hong Wong, Liang Yao, Ying Hu, Cheok I Chan, Shan Gao, Pui Pun Cha. Semantic Segmentation of Gastric Polyps in Endoscopic Images Based on Convolutional Neural Networks and an Integrated Evaluation Approach. Bioengineering (Basel, Switzerland). vol 10. issue 7. 2023-07-29. PMID:37508833. |
at present, just a few studies have used cnn to automatically diagnose gastric polyps, and studies on their semantic segmentation are lacking. |
2023-07-29 |
2023-08-14 |
Not clear |