| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Licheng Jiao, Mengjiao Wang, Xu Liu, Lingling Li, Fang Liu, Zhixi Feng, Shuyuan Yang, Biao Ho. Multiscale Deep Learning for Detection and Recognition: A Comprehensive Survey. IEEE transactions on neural networks and learning systems. vol PP. 2024-04-24. PMID:38652624. |
second, advanced multiscale representation methods are introduced, including pyramid representation, scale-space representation, and multiscale geometric representation. |
2024-04-24 |
2024-04-26 |
Not clear |
| Hao Quan, Xinjia Li, Dayu Hu, Tianhang Nan, Xiaoyu Cu. Dual-Channel Prototype Network for Few-Shot Pathology Image Classification. IEEE journal of biomedical and health informatics. vol PP. 2024-04-09. PMID:38587946. |
the dcpn leverages self-supervised learning to extend the pyramid vision transformer (pvt) to few-shot classification tasks and combines it with a convolutional neural network to construct a dual-channel network for extracting multi-scale, high-precision pathological features, thereby substantially enhancing the generalizability of prototype representations. |
2024-04-09 |
2024-04-11 |
Not clear |
| Qiming Li, Luoying Qi. A snail species identification method based on deep learning in food safety. Mathematical biosciences and engineering : MBE. vol 21. issue 3. 2024-03-29. PMID:38549300. |
then, based on the specific features of snail images, in order to solve the problems of small and dense targets of diverse shapes, a receptive field enhancement module was added to the head to learn the different receptive fields of the feature maps and enhance the feature pyramid representation. |
2024-03-29 |
2024-03-31 |
Not clear |
| Mingxin Liu, Yunzan Liu, Pengbo Xu, Hui Cui, Jing Ke, Jiquan M. Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis using Histopathological Images. IEEE transactions on medical imaging. vol PP. 2024-03-26. PMID:38530716. |
in this paper, inspired by clinical practice, a hierarchical graph pyramid transformer (hgpt) is proposed to guide pathological image classification by effectively exploiting a geometric representation of tissue distribution which was ignored by existing state-of-the-art methods. |
2024-03-26 |
2024-03-29 |
Not clear |
| Hongsen Pang, Li Zheng, Hongbin Fan. Cross-Attention Enhanced Pyramid Multi-Scale Networks for Sensor-based Human Activity Recognition. IEEE journal of biomedical and health informatics. vol PP. 2024-03-14. PMID:38483804. |
the model comprises two innovative modules: 1) pyramid multi-scale convolutional network (pmcn), which is designed with a symmetric structure and is capable of obtaining a rich receptive field at a finer level through its multiscale representation capability; 2) cross-attention mechanism, which establishes interrelationships among sensor dimensions, temporal dimensions, and channel dimensions, and effectively enhances useful information while suppressing irrelevant data. |
2024-03-14 |
2024-03-17 |
human |
| Wenqian Dong, Yihan Yang, Jiahui Qu, Yunsong Li, Yufei Yang, Xiuping Ji. Feature Pyramid Fusion Network for Hyperspectral Pansharpening. IEEE transactions on neural networks and learning systems. vol PP. 2024-02-13. PMID:37889826. |
in this article, we propose a feature pyramid fusion network (fpfnet) for pansharpening, which permits the network to extract multiresolution representations from pan and hs images in two branches. |
2024-02-13 |
2024-02-15 |
Not clear |
| Lin Zhang, Jing Wu, Feiniu Yuan, Yuming Fan. Smoke-Aware Global-Interactive Non-local Network for Smoke Semantic Segmentation. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2024-02-05. PMID:38315585. |
to solve the interference of smoke-like objects, a pyramid high-level semantic aggregation (phsa) module is designed, where the learned high-level category semantics from classification aids model by providing additional guidance to correct the wrong information in segmentation representations at the image level and alleviate the inter-class similarity problem. |
2024-02-05 |
2024-02-09 |
Not clear |
| Guanghui Yue, Guibin Zhuo, Weiqing Yan, Tianwei Zhou, Chang Tang, Peng Yang, Tianfu Wan. Boundary uncertainty aware network for automated polyp segmentation. Neural networks : the official journal of the International Neural Network Society. vol 170. 2024-01-19. PMID:38029720. |
specifically, considering that polyps vary greatly in size and shape, we first adopt a pyramid vision transformer encoder to learn multi-scale feature representations. |
2024-01-19 |
2024-01-22 |
Not clear |
| Jiaqi Gao, Zhizhong Huang, Yiming Lei, Hongming Shan, James Z Wang, Fei-Yue Wang, Junping Zhan. Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting. IEEE transactions on neural networks and learning systems. vol PP. 2023-12-13. PMID:38090870. |
this approach enables the incorporation of numerous pyramid partial orders, strengthening the model representation capability. |
2023-12-13 |
2023-12-17 |
Not clear |
| Tianyuan Gan, Ziyi Jin, Liangliang Yu, Xiao Liang, Hong Zhang, Xuesong Y. Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection. Scientific reports. vol 13. issue 1. 2023-12-08. PMID:38066207. |
self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection. |
2023-12-08 |
2023-12-17 |
Not clear |
| Tianyuan Gan, Ziyi Jin, Liangliang Yu, Xiao Liang, Hong Zhang, Xuesong Y. Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection. Scientific reports. vol 13. issue 1. 2023-12-08. PMID:38066207. |
to alleviate the laborious task of image annotation and utilize the vast amounts of readily available unlabeled colonoscopy data to further improve the polyp detection ability, this study proposed a novel self-supervised representation learning method called feature pyramid siamese networks (fpsiam). |
2023-12-08 |
2023-12-17 |
Not clear |
| Tianyuan Gan, Ziyi Jin, Liangliang Yu, Xiao Liang, Hong Zhang, Xuesong Y. Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection. Scientific reports. vol 13. issue 1. 2023-12-08. PMID:38066207. |
first, a feature pyramid encoder module was proposed to effectively extract and fuse both local and global feature representations among colonoscopic images, which is important for dense prediction tasks like polyp detection. |
2023-12-08 |
2023-12-17 |
Not clear |
| Ariadna Witte Castro, Carlos Zozaya, Santiago Ruvira, Silvia M Arribas, María Rosario López-Giménez, David Ramiro-Cortij. Online pilot intervention to improve nutritional and lifestyle in Spanish breast-feeding women. Nutricion hospitalaria. 2023-12-04. PMID:38047426. |
the mediterranean diet is the standard of healthy eating, with the healthy food pyramid (hfp) being its graphical representation. |
2023-12-04 |
2023-12-10 |
Not clear |
| Furong Li, Ping Li, Xiuming Wu, Pan Zeng, Guorong Lyu, Yuling Fan, Peizhong Liu, Haisheng Song, Zhonghua Li. FHUSP-NET: A Multi-task model for fetal heart ultrasound standard plane recognition and key anatomical structures detection. Computers in biology and medicine. vol 168. 2023-12-02. PMID:38042103. |
we apply spatial pyramid pooling with a fully connected spatial pyramid convolution module to capture information about targets and scenes of different sizes as well as improve the perceptual ability and feature representation of the model. |
2023-12-02 |
2023-12-10 |
Not clear |
| Marinella Cadoni, Andrea Lagorio, Enrico Gross. Face detection based on a human attention guided multi-scale model. Biological cybernetics. 2023-12-01. PMID:38038793. |
in more detail, it shows that a multi-scale pyramid representation can be adopted to extract interesting points, and that human attention can be used to select the points at the scales that lead to the best face detection performance. |
2023-12-01 |
2023-12-10 |
human |
| Qing Xu, Wenting Dua. DualAttNet: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays. Computers in biology and medicine. vol 168. 2023-11-24. PMID:38000248. |
the generated gradient flow is leveraged to refine pyramid representations and highlight lesion-related features. |
2023-11-24 |
2023-11-28 |
Not clear |
| Bohao Xu, Yingwei Fan, Jingming Liu, Guobin Zhang, Zhiping Wang, Zhili Li, Wei Guo, Xiaoying Tan. CHSNet: Automatic lesion segmentation network guided by CT image features for acute cerebral hemorrhage. Computers in biology and medicine. vol 164. 2023-08-13. PMID:37573720. |
to enhance the feature representation of high-density regions, and capture multi-scale and up-down information on the target location, we constructed a convolutional neural network with encoding-decoding backbone, res-rcl module, atrous spatial pyramid pooling, and attention gate. |
2023-08-13 |
2023-08-16 |
Not clear |
| Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, James S Dunca. Class-Aware Adversarial Transformers for Medical Image Segmentation. Advances in neural information processing systems. vol 35. 2023-08-03. PMID:37533756. |
first, we take advantage of the pyramid structure to construct multi-scale representations and handle multi-scale variations. |
2023-08-03 |
2023-08-14 |
Not clear |
| Tingman Yan, Xilian Yang, Genke Yang, Qunfei Zha. Hierarchical Belief Propagation on Image Segmentation Pyramid. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol PP. 2023-08-01. PMID:37527314. |
however, the solution space grows significantly with the introduction of high-resolution stereo images and 3d plane labels, making the traditional bp algorithms impractical in inference time and convergence.we present an accurate and efficient hierarchical bp framework using the representation of the image segmentation pyramid (isp). |
2023-08-01 |
2023-08-14 |
Not clear |
| Mengzi Hu, Ziyang Li, Jiong Yu, Xueqiang Wan, Haotian Tan, Zeyu Li. Efficient-Lightweight YOLO: Improving Small Object Detection in YOLO for Aerial Images. Sensors (Basel, Switzerland). vol 23. issue 14. 2023-07-29. PMID:37514717. |
secondly, we design efficient spatial pyramid pooling (espp) to augment the representation of small-object features in aerial images. |
2023-07-29 |
2023-08-14 |
Not clear |