A Vignetting Correction Method for Remote Sensing Images Based on Low-Rank Modeling and Polynomial Fitting [0.03%]
基于低秩建模和多项式拟合的遥感图像渐晕校正方法
Xue Zhao,Zhuoyue Hu,Zhengqin Xu
Xue Zhao
Vignetting introduces spatial radiometric nonuniformity into remote sensing images and degrades subsequent radiometric analysis, image interpretation, and calibration-related applications. To address this problem, this paper proposes a vign...
Enhanced RX-Based Hyperspectral Anomaly Detection Using Laplacian-Regularized PCA [0.03%]
基于拉普拉斯正则化主成分分析的RX遥感异常检测算法增强方法研究
Fatma Küçük
Fatma Küçük
Hyperspectral anomaly detection application is essential in numerous different remote sensing applications, where the detection of rare and unknown targets in complex scenes is needed. The proposed anomaly detection method in this study is ...
SCAGC-UNet: Graph Convolutional Network with Spatial and Channel Attention for Medical Image Segmentation [0.03%]
具有空间和通道注意的图卷积网络SCAGC-UNet用于医学图像分割
Xiaolong Hu,Xueyan Liu,Junji Jiang et al.
Xiaolong Hu et al.
Medical image segmentation is critical for clinical diagnosis, yet existing methods face a persistent trade-off: CNN-based approaches are constrained by local receptive fields, while Transformer-based methods suffer from semantic dilution w...
Iodinated Contrast Media Dose Protocols for Computed Tomography Investigations of the Abdomen: A Systematic Review and Meta-Analysis [0.03%]
碘化对比剂剂量方案用于腹部CT检查的系统评价和 meta 分析
Evans Ohemeng,Andrew Donkor,Ijeoma Chinedum Anyitey-Kokor et al.
Evans Ohemeng et al.
While several dosing protocols for iodinated contrast media (ICM) exist, a consensus strategy for optimising the physical imaging signal in abdominal CT is lacking. This systematic review and meta-analysis evaluated the performance of indiv...
Inter-Observer Reproducibility of [18F]FDG PET/CT Radiomic Features in Primary Breast Carcinoma [0.03%]
primary breast carcinoma影像组学特征的观测者间重复性研究
Alexandru Mitoi,Raluca Mititelu,Cosmin Medar et al.
Alexandru Mitoi et al.
Radiomic feature stability is a necessary condition for clinical translation, yet the impact of inter-observer segmentation variability remains insufficiently characterized for [18F]FDG PET/CT in breast carcinoma. We evaluated the inter-obs...
MSCF-Net: A Vision Mamba Network with Multi-Scale Context Bridging and Cross-Layer Adaptive Fusion for Medical Image Segmentation [0.03%]
具有多尺度上下文桥接和跨层自适应融合的医学图像分割眼镜蛇视觉网络(MSCF-Net)
Jiahao Guo,Tao Chen,Jiaxi Hu et al.
Jiahao Guo et al.
Accurate medical image segmentation remains challenging when lesions have large-scale variation, weak boundaries, and strong background interference. Vision Mamba provides efficient long-range modeling, but current Mamba-based U-shaped netw...
Explainable Two-Stage Xception-Swin Transformer Learning for Body-Part-Aware Fracture Detection in Musculoskeletal X-Rays [0.03%]
基于解剖部位的骨骼X光片骨折检测的可解释两阶段Xception-SwinTransformer模型
Syed Baqir Hussain Shah,Musfarah Wajid,Syed Adil Hussain Shah et al.
Syed Baqir Hussain Shah et al.
Accurate automated interpretation of upper-extremity musculoskeletal radiographs remains challenging because fracture appearance varies across anatomical regions and can be subtle under class imbalance. This study proposes a two-stage deep ...
Microscopy Cell Segmentation: Review and Benchmarking of Task-Specific and Foundation Models [0.03%]
显微镜细胞分割：任务特定模型和基础模型的回顾与基准测试
Diego Martí-Pérez,Valery Naranjo,Adrián Colomer
Diego Martí-Pérez
Cell segmentation plays a key role in a wide range of biomedical imaging applications, from single-cell analysis to pathology assessment. While classical deep learning architectures such as U-Net, StarDist, and HoVer-Net have set strong bas...
Probabilistic Camera Distortion Correction Using Deep Gaussian Processes [0.03%]
基于深度高斯过程的概率相机畸变校正方法
Ivan De Boi,Rhys G Evans,Stuti Pathak et al.
Ivan De Boi et al.
Accurate lens distortion correction is important for calibration, registration, image stitching, and 3D reconstruction, especially in low-data device-specific settings where disposable or specialised cameras cannot provide large calibration...
Vectorial Image Representation on the Texture Space (VIR-TS) Applied to RGB Image Classification: Face Recognition [0.03%]
应用于RGB图像分类的纹理空间向量图象表示(VIR-TS):人脸识别
Héctor Guillen-Bonilla,José Trinidad Guillen-Bonilla,Maricela Jiménez-Rodríguez et al.
Héctor Guillen-Bonilla et al.
In this paper, an RGB image with S is separated by its channels, obtaining an image in each color channel SR, SG and SB. The Vectorial Image Representation on the Texture Space (VIR-TS) transform is calculated for each channel; ergo, each i...