Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification [0.03%]
全维度动态卷积特征坐标注意力网络肺炎分类方法研究
Yufei Li,Yufei Xin,Xinni Li et al.
Yufei Li et al.
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray imaging. This study proposes X-ODF...
Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics [0.03%]
利用磁共振影像组学非侵袭性识别前列腺癌主动监测对象候选人
Yuwei Liu,Litao Zhao,Jie Bao et al.
Yuwei Liu et al.
Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate biopsies, which entail the risk...
Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm [0.03%]
基于迁移学习和随机森林算法的皮肤癌病灶两步层次化二分类方法
Taofik Ahmed Suleiman,Daniel Tweneboah Anyimadu,Andrew Dwi Permana et al.
Taofik Ahmed Suleiman et al.
Skin lesion classification plays a crucial role in the early detection and diagnosis of various skin conditions. Recent advances in computer-aided diagnostic techniques have been instrumental in timely intervention, thereby improving patien...
Libing Yao,Jiping Wang,Zhongyi Wu et al.
Libing Yao et al.
Low-dose computed tomography (LDCT) has gained increasing attention owing to its crucial role in reducing radiation exposure in patients. However, LDCT-reconstructed images often suffer from significant noise and artifacts, negatively impac...
Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction [0.03%]
高分辨率滤波反投影重建的肝转移瘤的CT仿真检查特征研究
Christopher Wiedeman,Peter Lorraine,Ge Wang et al.
Christopher Wiedeman et al.
Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes, especially as the disease progresses into liver metastases. Computed tomography (CT) is a front...
Schlieren imaging and video classification of alphabet pronunciations: exploiting phonetic flows for speech recognition and speech therapy [0.03%]
施里埃成像和字母发音视频分类：利用语音流进行语音识别和言语疗法
Mohamed Talaat,Kian Barari,Xiuhua April Si et al.
Mohamed Talaat et al.
Speech is a highly coordinated process that requires precise control over vocal tract morphology/motion to produce intelligible sounds while simultaneously generating unique exhaled flow patterns. The schlieren imaging technique visualizes ...
V4RIN: visual analysis of regional industry network with domain knowledge [0.03%]
基于领域知识的地方产业网络视觉分析系统
Wenli Xiong,Chenjie Yu,Chen Shi et al.
Wenli Xiong et al.
The regional industry network (RIN) is a type of financial network derived from industry networks that possess the capability to describe the connections between specific industries within a particular region. For most investors and financi...
Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification [0.03%]
一种典型的实例依赖的对抗标签噪声的框架：模拟和对抗内镜下息肉分类的真实世界中的噪声标签的一种新框架
Yun Gao,Junhu Fu,Yuanyuan Wang et al.
Yun Gao et al.
Learning with noisy labels aims to train neural networks with noisy labels. Current models handle instance-independent label noise (IIN) well; however, they fall short with real-world noise. In medical image classification, atypical samples...
Dual modality prompt learning for visual question-grounded answering in robotic surgery [0.03%]
机器人手术中用于视觉问答的双模态提示学习方法
Yue Zhang,Wanshu Fan,Peixi Peng et al.
Yue Zhang et al.
With recent advancements in robotic surgery, notable strides have been made in visual question answering (VQA). Existing VQA systems typically generate textual answers to questions but fail to indicate the location of the relevant content w...
Automated analysis of pectoralis major thickness in pec-fly exercises: evolving from manual measurement to deep learning techniques [0.03%]
胸大肌厚度在飞鸟运动中的自动化分析：从手动测量到深度学习技术的发展
Shangyu Cai,Yongsheng Lin,Haoxin Chen et al.
Shangyu Cai et al.
This study addresses a limitation of prior research on pectoralis major (PMaj) thickness changes during the pectoralis fly exercise using a wearable ultrasound imaging setup. Although previous studies used manual measurement and subjective ...