Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images [0.03%]
结合CNN-Transformer的多任务方法在超声图像中对乳腺肿瘤进行有效分割和分类
Jaouad Tagnamas,Hiba Ramadan,Ali Yahyaouy et al.
Jaouad Tagnamas et al.
Accurate segmentation of breast ultrasound (BUS) images is crucial for early diagnosis and treatment of breast cancer. Further, the task of segmenting lesions in BUS images continues to pose significant challenges due to the limitations of ...
CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis [0.03%]
基于CT的放射组学：预测严重动脉粥样硬化性肾动脉狭窄患者经皮腔内肾成形术后早期结局
Jia Fu,Mengjie Fang,Zhiyong Lin et al.
Jia Fu et al.
This study aimed to comprehensively evaluate non-contrast computed tomography (CT)-based radiomics for predicting early outcomes in patients with severe atherosclerotic renal artery stenosis (ARAS) after percutaneous transluminal renal angi...
Dingchang Wu,Yinghui Wang,Haomiao Ma et al.
Dingchang Wu et al.
The traditional feature-extraction method of oriented FAST and rotated BRIEF (ORB) detects image features based on a fixed threshold; however, ORB descriptors do not distinguish features well in capsule endoscopy images. Therefore, a new fe...
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma [0.03%]
基于影像组学的磁共振及动态增强磁共振综合集成分析在鼻咽癌预后预测中的应用研究
Hailin Li,Weiyuan Huang,Siwen Wang et al.
Hailin Li et al.
Although prognostic prediction of nasopharyngeal carcinoma (NPC) remains a pivotal research area, the role of dynamic contrast-enhanced magnetic resonance (DCE-MR) has been less explored. This study aimed to investigate the role of DCR-MR i...
Local imperceptible adversarial attacks against human pose estimation networks [0.03%]
针对姿态估计网络的局部不可察觉对抗攻击
Fuchang Liu,Shen Zhang,Hao Wang et al.
Fuchang Liu et al.
Deep neural networks are vulnerable to attacks from adversarial inputs. Corresponding attack research on human pose estimation (HPE), particularly for body joint detection, has been largely unexplored. Transferring classification-based atta...
Fangfang Zhou,Jiapeng Mi,Beiwen Zhang et al.
Fangfang Zhou et al.
Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)-based approaches have been widely used for fact prediction. However, the existing approaches largel...
Application and prospects of AI-based radiomics in ultrasound diagnosis [0.03%]
基于人工智能的影像组学在超声诊断中的应用及前景分析
Haoyan Zhang,Zheling Meng,Jinyu Ru et al.
Haoyan Zhang et al.
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique advantages such as high temporal resolution, low cost,...
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation [0.03%]
基于注意力和知识蒸馏的轻量化可回收垃圾分类算法:focus-rcnet
Dashun Zheng,Rongsheng Wang,Yaofei Duan et al.
Dashun Zheng et al.
Waste pollution is a significant environmental problem worldwide. With the continuous improvement in the living standards of the population and increasing richness of the consumption structure, the amount of domestic waste generated has inc...
Novel 3D local feature descriptor of point clouds based on spatial voxel homogenization for feature matching [0.03%]
一种基于空间体素同质化的点云局部特征描述子及其匹配方法研究
Jiong Yang,Jian Zhang,Zhengyang Cai et al.
Jiong Yang et al.
Obtaining a 3D feature description with high descriptiveness and robustness under complicated nuisances is a significant and challenging task in 3D feature matching. This paper proposes a novel feature description consisting of a stable loc...
Discrimination between leucine-rich glioma-inactivated 1 antibody encephalitis and gamma-aminobutyric acid B receptor antibody encephalitis based on ResNet18 [0.03%]
基于ResNet18区分LEDA和GABRAEn的深度学习模型研究
Jian Pan,Ruijuan Lv,Qun Wang et al.
Jian Pan et al.
This study aims to discriminate between leucine-rich glioma-inactivated 1 (LGI1) antibody encephalitis and gamma-aminobutyric acid B (GABAB) receptor antibody encephalitis using a convolutional neural network (CNN) model. A total of 81 pati...