[AConvLSTM U-Net: a multi-scale jaw cyst segmentation model based on bidirectional dense connection and attention mechanism]. [PDF]
Li S, Wang Z, Chan S, Zhou X.
europepmc +1 more source
[Trans-YOLOv5: a YOLOv5-based prior transformer network model for automated detection of abnormal cells or clumps in cervical cytology images]. [PDF]
Hu W, Fu R.
europepmc +1 more source
基于图像融合技术与改进Faster R-CNN的绝缘子故障识别
为提高地铁接触网绝缘子故障检测精度,文中提出一种融合双流注意力生成对抗网络(DSAGAN)与改进Faster R-CNN的检测框架。针对多源图像特征融合难题,通过DSAGAN实现接触网绝缘子红外与可见光图像的高效融合:生成器采用注意力机制强化关键特征提取,判别器引入最小二乘损失函数替代传统交叉熵,有效保留纹理细节并提升网络稳定性。在故障识别阶段,改进Faster R-CNN模型采用ResNet101替代VGG16作为主干网络,结合残差连接缓解梯度异常问题,并在RPN层嵌入非极大值抑制(NMS ...
耿占权, 苏飞
doaj
针对现有方法对架空导线断股和散股检测速度较慢、精度较低的问题,提出一种基于YOLOv5改进的增强不典型特征的轻量化网络(enhanced atypical feature lightweight network,EAFYOLO)。首先,对颈部网络进行局部轻量化,提升检测速度;其次,在骨干网络后嵌入一层通道注意力机制保留大权重通道,将重要信息过滤给颈部网络,使颈部网络提取更多有效信息;最后,提出增强不典型特征金字塔网络和高效特征提取网络,有效提升检测精度 ...
沈虹杜, 施保华, 文斌, 李昱达
doaj
[Drug repositioning prediction based on dynamic feature learning on heterogeneous graphs]. [PDF]
Zhu H, Guo Y, Xin X, Li C, Zhou D.
europepmc +1 more source
[Review of application of U-Net and Transformer in colon polyp image segmentation]. [PDF]
Shi Y, Sun S, Liu J, Ma J, Li M.
europepmc +1 more source
[A motor imagery decoding study integrating differential attention with a multi-scale adaptive temporal convolutional network]. [PDF]
Dong Z, Bao X, Yang Y, Wu J.
europepmc +1 more source
[Esketamine alleviates depression-like behaviors in mice with chronic restraint stress by activating glutamatergic neurons in the medial prefrontal cortex]. [PDF]
Zhang Z +7 more
europepmc +1 more source
[Medical treatment standards for emergency trauma wounded (2025 edition)]. [PDF]
National Health Commission Of The People's Republic Of China.
europepmc +1 more source
[Adaptive lesion-aware fusion network for joint grading of multiple fundus diseases]. [PDF]
Zeng W, Guo S.
europepmc +1 more source

