Xiaochen Gu,Ping Huang,Xiaohua Xu et al.
Xiaochen Gu et al.
Fetal macrosomia is associated with maternal and newborn complications due to incorrect fetal weight estimation or inappropriate choice of delivery models. The early screening and evaluation of macrosomia in the third trimester can improve ...
Medical image registration and its application in retinal images: a review [0.03%]
医学图象配准及其在视网膜图像中的应用：综述论文
Qiushi Nie,Xiaoqing Zhang,Yan Hu et al.
Qiushi Nie et al.
Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles, or modalities. Although several surveys have reviewed the ...
IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models [0.03%]
基于视觉语言和ChatGPT模型的CT图像质量评估(IQAGPT)
Zhihao Chen,Bin Hu,Chuang Niu et al.
Zhihao Chen et al.
Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted increasing interest as a natural language interface across many domains. Recently, large vision-language models (VLMs) t...
Correction: Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification [0.03%]
纠正：用于肺炎分类的全维度动态卷积特征坐标注意力网络
Yufei Li,Yufei Xin,Xinni Li et al.
Yufei Li et al.
Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms [0.03%]
革命性贫血检测：集成机器学习模型和先进注意力机制
Muhammad Ramzan,Jinfang Sheng,Muhammad Usman Saeed et al.
Muhammad Ramzan et al.
This study addresses the critical issue of anemia detection using machine learning (ML) techniques. Although a widespread blood disorder with significant health implications, anemia often remains undetected. This necessitates timely and eff...
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...