ZACP: enhancing skin lesion classification ability using zero attention and complete perception [0.03%]
利用零注意力和完整感知增强皮肤病变分类能力
Hailong Zuo,Zhi Weng,Zhenshuai Fu et al.
Hailong Zuo et al.
With the increasing number of dermatology patients owing to ecological deterioration and unhealthy lifestyles, hospitals are experiencing significant diagnostic pressure, and patients are suffering from delayed treatment and poor medical ex...
CRR-Net: a correlation reconstruction and refinement network for deformable medical image registration [0.03%]
基于相关性重建和优化的医用变形图像配准网络(CRR-Net)
Bingxian Xie,Guimei Zhang,Ke Xu
Bingxian Xie
Deformable image registration is a critical task in medical image analysis. However, existing learning-based methods encounter difficulties in achieving high registration accuracy under large anatomical deformations while maintaining model ...
Foundation model for screening severe mitral regurgitation and severe aortic stenosis from coronary angiograms [0.03%]
基于冠状动脉造影筛查重度二尖瓣反流和主动脉瓣狭窄的基础模型
Yingqian Zhang,Zhiming Shao,Zechen Wei et al.
Yingqian Zhang et al.
Coronary heart disease (CAD) is the leading cause of death worldwide, and coronary angiography (CAG) serves as the gold standard for its assessment. Valvular heart diseases, such as severe aortic stenosis (AS) and severe mitral regurgitatio...
Multiscale feature fusion for few-shot medical image learning with fisher information-driven layer selection [0.03%]
基于Fisher信息驱动的层选择的Few-shot医学图像学习 multiscale特征融合方法
Kai Zhang,Yanjun Peng,Bo Pang et al.
Kai Zhang et al.
Few-shot medical image classification is a highly challenging problem in computer-aided diagnosis, with the central difficulty being enabling deep models to learn discriminative features conducive to classification from limited labeled samp...
MEDI-SLATE: medical imaging slide-lecture aligned teaching ensemble [0.03%]
基于医学影像的课件对齐教学集锦（ Medi-Slate）
Motaleb Hossen Manik,Zabirul Islam,Ge Wang
Motaleb Hossen Manik
Slide-based lectures remain the primary means by which undergraduate students learn about the mathematical, physical, and systems-level foundations of medical imaging. However, despite their central educational role, no openly available dat...
Construction of complex non-uniform rational B-spline volume parametric models with G1 continuity [0.03%]
带G1连续性的复杂非均匀有理B样条体积参数模型的构建
Dan Wang,Long Chen,Jiahong Zhang
Dan Wang
The construction of complex volumetric parametric models has long been a bottleneck in achieving integrated design and simulation modeling. To enhance model quality and simplify the modeling process, this paper proposes an innovative method...
Review of electroencephalography and electromyography research in robotics: opportunities and challenges [0.03%]
脑电和肌电在机器人中的研究综述：机遇与挑战
Zefeng Wang,Meiyan Xu,Junfeng Yao et al.
Zefeng Wang et al.
In the evolving nexus of neuroscience and robotics, the symbiotic fusion of electroencephalography (EEG) and electromyography (EMG) is emerging as a paradigm-shifting avenue for enhancing human-machine interfaces. While EEG, which captures ...
UMIAD-EGMF: unsupervised medical image anomaly detection based on edge guidance and multi-scale flow fusion [0.03%]
基于边缘引导和多尺度流融合的无监督医学图像异常检测（UMIAD-EGMF）
Zhirong Li,Guangfeng Lin,Dou Zhang et al.
Zhirong Li et al.
Medical imaging technology has advanced rapidly in recent years; however, abnormalities in medical images are often rare and complex, making sample labels difficult to obtain for supervised learning of detection models. Existing unsupervise...
MetaChest: generalized few-shot learning of pathologies from chest X-rays [0.03%]
MetaChest：来自胸部X光片的病理学通用少样本学习
Berenice Montalvo-Lezama,Gibran Fuentes-Pineda
Berenice Montalvo-Lezama
The limited availability of annotated data presents a major challenge in applying deep learning methods to medical image analysis. Few-shot learning methods aim to recognize new classes from only a few labeled examples. These methods are ty...
Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications [0.03%]
生物医学应用的声光成像重建和定量分析进展
Lei Wang,Weiming Zeng,Kai Long et al.
Lei Wang et al.
Photoacoustic imaging (PAI), a modality that combines the high contrast of optical imaging with the deep penetration of ultrasound, is rapidly transitioning from preclinical research to clinical practice. However, its widespread clinical ad...