| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Aihua Ke, Jian Luo, Bo Ca. UNet-like network fused swin transformer and CNN for semantic image synthesis. Scientific reports. vol 14. issue 1. 2024-07-21. PMID:39033170. |
unet-like network fused swin transformer and cnn for semantic image synthesis. |
2024-07-21 |
2024-07-24 |
Not clear |
| Aihua Ke, Jian Luo, Bo Ca. UNet-like network fused swin transformer and CNN for semantic image synthesis. Scientific reports. vol 14. issue 1. 2024-07-21. PMID:39033170. |
semantic image synthesis approaches has been dominated by the modelling of convolutional neural networks (cnn). |
2024-07-21 |
2024-07-24 |
Not clear |
| Aihua Ke, Jian Luo, Bo Ca. UNet-like network fused swin transformer and CNN for semantic image synthesis. Scientific reports. vol 14. issue 1. 2024-07-21. PMID:39033170. |
to tackle this issue, we propose the sc-unet model, which is a unet-like network fused swin transformer and cnn for semantic image synthesis. |
2024-07-21 |
2024-07-24 |
Not clear |
| Lijia Zhi, Shaoyong Duan, Shaomin Zhan. Multiple semantic X-ray medical image retrieval using efficient feature vector extracted by FPN. Journal of X-ray science and technology. 2024-07-20. PMID:39031428. |
in this paper, we propose an effective deep convolutional neural network (cnn) model to extract concise feature vectors for multiple semantic x-ray medical image retrieval. |
2024-07-20 |
2024-07-24 |
Not clear |
| Zihong Xu, Ziyang Wan. MCV-UNet: a modified convolution & transformer hybrid encoder-decoder network with multi-scale information fusion for ultrasound image semantic segmentation. PeerJ. Computer science. vol 10. 2024-07-10. PMID:38983210. |
in this article, we introduce a novel hybrid network that synergistically combines convolutional neural networks (cnn) and vision transformers (vit) for ultrasound image semantic segmentation. |
2024-07-10 |
2024-07-12 |
Not clear |
| Nikolaos Detsikas, Nikolaos Mitianoudis, Ioannis Pratikaki. MResTNet: A Multi-Resolution Transformer Framework with CNN Extensions for Semantic Segmentation. Journal of imaging. vol 10. issue 6. 2024-06-26. PMID:38921602. |
mrestnet: a multi-resolution transformer framework with cnn extensions for semantic segmentation. |
2024-06-26 |
2024-06-29 |
Not clear |
| Tae Hoon Kim, Moez Krichen, Stephen Ojo, Meznah A Alamro, Gabriel Avelino Sampedr. TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network. Diagnostics (Basel, Switzerland). vol 14. issue 11. 2024-06-19. PMID:38893700. |
this paper proposed a novel approach, named the tuberculosis segmentation-guided diagnosis model (tssg-cnn) for detecting tuberculosis, using a combined semantic segmentation and adaptive convolutional neural network (cnn) architecture. |
2024-06-19 |
2024-06-21 |
Not clear |
| Mohammad Siami, Tomasz Barszcz, Radoslaw Zimro. Advanced Image Analytics for Mobile Robot-Based Condition Monitoring in Hazardous Environments: A Comprehensive Thermal Defect Processing Framework. Sensors (Basel, Switzerland). vol 24. issue 11. 2024-06-19. PMID:38894210. |
this includes a semantic segmentation technique utilizing the pre-trained vgg16 cnn architecture for feature selection, followed by random forest (rf) and extreme gradient boosting (xgboost) classifiers for the prediction of the pixel class labels. |
2024-06-19 |
2024-06-21 |
Not clear |
| Maria Osório, Andreas Wicher. Promoting the Shift From Pixel-Level Correlations to Object Semantics Learning by Rethinking Computer Vision Benchmark Data Sets. Neural computation. 2024-05-22. PMID:38776966. |
the cnn poor performance on stanford dogs images underlines the disparity between deep learning and human visual perception, highlighting the need for models that learn object semantics. |
2024-05-22 |
2024-05-27 |
human |
| 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 |