Deep Learning Techniques for Prostate Cancer Analysis and Detection: Survey of the State of the Art [0.03%]
深度学习在前列腺癌分析与检测中的应用：现状调查研究论文综述
Olushola Olawuyi,Serestina Viriri
Olushola Olawuyi
The human interpretation of medical images, especially for the detection of cancer in the prostate, has traditionally been a time-consuming and challenging process. Manual examination for the detection of prostate cancer is not only time-co...
DFCNet: Dual-Stage Frequency-Domain Calibration Network for Low-Light Image Enhancement [0.03%]
用于低光图像增强的双频域校准网络
Hui Zhou,Jun Li,Yaming Mao et al.
Hui Zhou et al.
Imaging technologies are widely used in surveillance, medical diagnostics, and other critical applications. However, under low-light conditions, captured images often suffer from insufficient brightness, blurred details, and excessive noise...
Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures [0.03%]
基于VAE、GAN和扩散模型架构的合成科学图像生成方法
Zineb Sordo,Eric Chagnon,Zixi Hu et al.
Zineb Sordo et al.
Generative AI (genAI) has emerged as a powerful tool for synthesizing diverse and complex image data, offering new possibilities for scientific imaging applications. This review presents a comprehensive comparative analysis of leading gener...
Integrating Google Maps and Smooth Street View Videos for Route Planning [0.03%]
集成Google地图和流畅街道视图视频的路线规划方法
Federica Massimi,Antonio Tedeschi,Kalapraveen Bagadi et al.
Federica Massimi et al.
This research addresses the long-standing dependence on printed maps for navigation and highlights the limitations of existing digital services like Google Street View and Google Street View Player in providing comprehensive solutions for r...
The Role of Radiomic Analysis and Different Machine Learning Models in Prostate Cancer Diagnosis [0.03%]
放射组学分析及不同机器学习模型在前列腺癌诊断中的作用
Eleni Bekou,Ioannis Seimenis,Athanasios Tsochatzis et al.
Eleni Bekou et al.
Prostate cancer (PCa) is the most common malignancy in men. Precise grading is crucial for the effective treatment approaches of PCa. Machine learning (ML) applied to biparametric Magnetic Resonance Imaging (bpMRI) radiomics holds promise f...
Reclassification Scheme for Image Analysis in GRASS GIS Using Gradient Boosting Algorithm: A Case of Djibouti, East Africa [0.03%]
基于梯度提升算法的GRASS GIS影像分析重分类方案：以东非吉布提为例
Polina Lemenkova
Polina Lemenkova
Image analysis is a valuable approach in a wide array of environmental applications. Mapping land cover categories depicted from satellite images enables the monitoring of landscape dynamics. Such a technique plays a key role for land manag...
Jinxing Liang,Guanghao Wu,Ke Yang et al.
Jinxing Liang et al.
To overcome the complexity of yarn color measurement using spectrophotometry with yarn winding techniques and to enhance consistency with human visual perception, a yarn color measurement method based on digital photography is proposed. Thi...
Innovative Multi-View Strategies for AI-Assisted Breast Cancer Detection in Mammography [0.03%]
人工智能辅助乳腺X线摄影乳腺癌检测的创新多视图策略
Beibit Abdikenov,Tomiris Zhaksylyk,Aruzhan Imasheva et al.
Beibit Abdikenov et al.
Mammography is the main method for early detection of breast cancer, which is still a major global health concern. However, inter-reader variability and the inherent difficulty of interpreting subtle radiographic features frequently limit t...
Correction: Pegoraro et al. Cardiac Magnetic Resonance in the Assessment of Atrial Cardiomyopathy and Pulmonary Vein Isolation Planning for Atrial Fibrillation. J. Imaging 2025, 11, 143 [0.03%]
关于Pegoraro等人文章的更正：心脏磁共振在心房肌病评估和肺静脉隔离以治疗心房颤动中的规划作用。J. Imaging 2025, 11, 143
Nicola Pegoraro,Serena Chiarello,Riccardo Bisi et al.
Nicola Pegoraro et al.
In the original publication [...].
Published Erratum
Journal of imaging. 2025 Jul 11;11(7):233. DOI:10.3390/jimaging11070233 2025
DP-AMF: Depth-Prior-Guided Adaptive Multi-Modal and Global-Local Fusion for Single-View 3D Reconstruction [0.03%]
基于深度先验的自适应多模态全局局部融合单视图三维重建方法
Luoxi Zhang,Chun Xie,Itaru Kitahara
Luoxi Zhang
Single-view 3D reconstruction remains fundamentally ill-posed, as a single RGB image lacks scale and depth cues, often yielding ambiguous results under occlusion or in texture-poor regions. We propose DP-AMF, a novel Depth-Prior-Guided Adap...