[Endometrial cancer lesion region segmentation based on large kernel convolution and combined attention] [0.03%]
基于大核卷积和融合注意力的子宫内膜癌病灶区域分割方法
Rushu Peng,Qinghao Zeng,Bin He et al.
Rushu Peng et al.
Endometrial cancer (EC) is one of the most common gynecological malignancies, with an increasing incidence rate worldwide. Accurate segmentation of lesion areas in computed tomography (CT) images is a critical step in assisting clinical dia...
[Medical image segmentation method based on self-attention and multi-view attention] [0.03%]
基于自注意力和多视图注意力的医学图像分割方法
Dan Pan,Jin Lyu,An Zeng
Dan Pan
Most current medical image segmentation models are primarily built upon the U-shaped network (U-Net) architecture, which has certain limitations in capturing both global contextual information and fine-grained details. To address this issue...
[A multi-scale feature capturing and spatial position attention model for colorectal polyp image segmentation] [0.03%]
一种多尺度特征采集及空间位置注意力的结肠息肉图像分割模型
Wen Guo,Xiangyang Chen,Jian Wu et al.
Wen Guo et al.
Colorectal polyps are important early markers of colorectal cancer, and their early detection is crucial for cancer prevention. Although existing polyp segmentation models have achieved certain results, they still face challenges such as di...
[Research on attention-enhanced networks for subtype classification of age-related macular degeneration in optical coherence tomography] [0.03%]
基于注意力增强网络的OCT图像年龄相关性黄斑变性的亚型分类研究
Minghui Chen,Wenyi Yang,Shiyi Xu et al.
Minghui Chen et al.
Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To i...
[An adaptive multi-label classification model for diabetic retinopathy lesion recognition] [0.03%]
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Xina Liu,Jun Xie,Junjun Hou et al.
Xina Liu et al.
Diabetic retinopathy is a common blinding complication in diabetic patients. Compared with conventional fundus color photography, fundus fluorescein angiography can dynamically display retinal vessel permeability changes, offering unique ad...
[A cephalometric landmark detection method using dual-encoder on X-ray image] [0.03%]
基于X射线图像的 cephlometric 人脸特征点检测方法研究
Chao Dai,Chaolin Huang,Minpeng Xu et al.
Chao Dai et al.
Accurate detection of cephalometric landmarks is crucial for orthodontic diagnosis and treatment planning. Current landmark detection methods are mainly divided into heatmap-based and regression-based approaches. However, these methods ofte...
Jing Di,Shuhui Shi,Heran Wang et al.
Jing Di et al.
To address issues such as loss of detailed information, blurred target boundaries, and unclear structural hierarchy in medical image fusion, this paper proposes an adaptive feature medical image fusion network based on a full-scale diffusio...
[Research progress on predicting radiation pneumonia based on four-dimensional computed tomography ventilation imaging in lung cancer radiotherapy] [0.03%]
基于四维CT通气成像的放射性肺炎预测研究进展肺癌放疗中
Yuyu Liu,Li Wang,Yanping Gao et al.
Yuyu Liu et al.
Lung cancer is the leading cause of cancer-related deaths worldwide. Radiation pneumonitis is a major complication in lung cancer radiotherapy. Four-dimensional computed tomography (4DCT) imaging provides dynamic ventilation information, wh...
[Research progress on the early warning of heart failure based on remote dynamic monitoring technology] [0.03%]
基于远程动态监测技术的心力衰竭预警研究进展
Ying Shi,Mengwei Li,Lixuan Li et al.
Ying Shi et al.
Heart failure (HF) is the end-stage of all cardiac diseases, characterized by high prevalence, high mortality, and heavy social and economic burden. Early warning of HF exacerbation is of great value for outpatient management and reducing r...
[Research progress on combined transcranial electromagnetic stimulation in clinical application in brain diseases] [0.03%]
经颅磁刺激联合干预在脑疾病临床应用中的研究进展
Yujia Wei,Tingyu Wang,Chunfang Wang et al.
Yujia Wei et al.
In recent years, the ongoing development of transcranial electrical stimulation (TES) and transcranial magnetic stimulation (TMS) has demonstrated significant potential in the treatment and rehabilitation of various brain diseases. In parti...