Segmentation-Free Preoperative 3D MRI Classification of Low-Grade Versus High-Grade Glioma Using Task-Oriented Neural Architecture Search [0.03%]
基于任务导向神经网络结构搜索的端到端术前低级别与高级别胶质瘤分类方法
Christos Ch Andrianos,Spiros A Kostopoulos,Ioannis K Kalatzis et al.
Christos Ch Andrianos et al.
Gliomas constitute the majority of primary brain tumors, and accurate diagnosis through MRI is essential for patient management. Existing computer-aided diagnosis approaches frequently rely on tumor segmentation frameworks. In this study, a...
3D Geometry-Aware Efficient Feature Matching for Weakly Textured Scenes [0.03%]
针对弱纹理场景的几何感知高效特征匹配方法
Libo Sun,Yidong Yan,Wenqi Yang et al.
Libo Sun et al.
Local feature matching plays a critical role in robotic SLAM and visual localization. However, in weakly textured indoor industrial environments, lightweight appearance-based methods often struggle to learn discriminative and stable local f...
Fracture Detection on Bone Radiographs: The Impact of an AI Tool on Orthopaedic Night Shifts [0.03%]
人工智能工具对骨科夜班骨折检测的影响
Domenico Albano,Giacomo Vignati,Sara D&#x;Andrea et al.
Domenico Albano et al.
We evaluated how using an artificial intelligence (AI)-based diagnostic tool impacts orthopaedists' accuracy in detecting fractures during night shifts without the support of on-site radiologists. We compared diagnostic discrepancies betwee...
3D Deep Learning for Brain Tumor Segmentation and Survival Prediction: A Comprehensive Multi-Modal Analysis Using the BraTS2020 Dataset [0.03%]
基于BraTS2020数据集的脑肿瘤分割和生存预测的三维深度学习综合多模态分析
Vivek Sanker,Dhanya Mahesh,Zhikai Li et al.
Vivek Sanker et al.
Introduction: Three-dimensional deep learning offers promise for automated accurate brain tumor segmentation and survival prediction but requires robust validation across multiple MRI modalities to be effectively implemen...
Mihnea-Petrut-Ilie Mitrache,Costin-Anton Boiangiu
Mihnea-Petrut-Ilie Mitrache
High dynamic range (HDR) imaging offers an enhanced visual experience by capturing a wider range of real-world luminance levels in digital images. Driven by the increasing demand for high-quality visuals, HDR monitor technology has seen sig...
Temporal-Enhanced and Visual-Text Adaptive Fusion for Weakly Supervised Video Anomaly Detection in Public Safety [0.03%]
面向公共安全的弱监督视频异常检测的时间增强与跨模态自适应融合方法
Jin Si,Qifen Dong,Xue Yang
Jin Si
In the realm of public safety, the automated identification of potential threats from voluminous surveillance streams is pivotal for developing intelligent security systems. Manual monitoring of such massive video feeds is highly inefficien...
Finite-Aperture Limits for Yaw Estimation in Confocal Non-Line-of-Sight Imaging [0.03%]
共焦非视距成像中有限孔径对偏航估计的限制
Riccardo Romanelli,Lorenzo Francesco Livi,Francesco V Pepe et al.
Riccardo Romanelli et al.
Non-line-of-sight (NLOS) time-of-flight imaging can recover hidden-scene geometry from the transient image measured on a relay wall. While the finiteness of the relay wall is known to constrain reconstruction, its impact on the angular esti...
A Robust 3D Registration Method via Simultaneous Inlier Identification and Model Estimation [0.03%]
基于同时识别内点和模型估计的稳健的三维配准方法
Xianyun Qian,Fei Wen,Peilin Liu
Xianyun Qian
Robust 3D registration is a fundamental problem in computer vision and robotics, where the goal is to estimate the geometric transformation between two sets of measurements in the presence of noise and outlier contamination. Existing robust...
MSAFusion: A Lightweight Multispectral Pedestrian Detection Network with Multi-Scale and Adaptive Feature Fusion [0.03%]
MSAFusion：一种具有多尺度自适应特征融合的轻量级 multispectral 行人检测网络
Yang Song,Xin Zuo,Chenyu Qu et al.
Yang Song et al.
Robust multispectral pedestrian detection remains challenging in complex environments such as those with low illumination, strong thermal contrast, and background clutter. Although RGB-thermal fusion provides complementary cues, lightweight...
Exposure-Aware Training for Low-Light Object Detection Without Target-Domain Data [0.03%]
无需目标域数据的低光环境下的自适应对象检测模型训练方法
Yawen Su,Min Lu
Yawen Su
Low-light object detection remains challenging because insufficient illumination obscures visual features and increases the discrepancy between training and testing conditions. Existing approaches often rely on detector redesign, image enha...