Three-Dimensional Ultraviolet Fluorescence Imaging in Cultural Heritage: A Review of Applications in Multi-Material Artworks [0.03%]
文化遗产中的三维紫外荧光成像：多材质艺术品应用的综述
Luca Lanteri,Claudia Pelosi,Paola Pogliani
Luca Lanteri
Ultraviolet-induced fluorescence (UVF) imaging represents a simple but powerful technique in cultural heritage studies. It is a nondestructive and non-invasive imaging technique which can supply useful and relevant information to define the...
Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity [0.03%]
基于深度学习的根据室壁增厚程度分类左心室节段的算法
Wafa Baccouch,Bilel Hasnaoui,Narjes Benameur et al.
Wafa Baccouch et al.
In clinical practice, left ventricle hypertrophy (LVH) continues to pose a considerable challenge, highlighting the need for more reliable diagnostic approaches. This study aims to propose an automated framework for the quantification of LV...
A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Classification [0.03%]
一种基于新型3D卷积神经网络的深度学习模型在时空特征映射中的可行性研究：内镜视频分类案例分析
Mrinal Kanti Dhar,Mou Deb,Poonguzhali Elangovan et al.
Mrinal Kanti Dhar et al.
Accurate analysis of medical videos remains a major challenge in deep learning (DL) due to the need for effective spatiotemporal feature mapping that captures both spatial detail and temporal dynamics. Despite advances in DL, most existing ...
FakeMusicCaps: A Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models [0.03%]
假音乐数据集：基于文本到音乐模型生成的合成音乐的检测与归属数据集
Luca Comanducci,Paolo Bestagini,Stefano Tubaro
Luca Comanducci
Text-to-music (TTM) models have recently revolutionized the automatic music generation research field, specifically by being able to generate music that sounds more plausible than all previous state-of-the-art models and by lowering the tec...
A Self-Supervised Adversarial Deblurring Face Recognition Network for Edge Devices [0.03%]
一种用于边缘设备的自监督对抗去模糊人脸识别网络
Hanwen Zhang,Myun Kim,Baitong Li et al.
Hanwen Zhang et al.
With the advancement of information technology, human activity recognition (HAR) has been widely applied in fields such as intelligent surveillance, health monitoring, and human-computer interaction. As a crucial component of HAR, facial re...
Predicting Very Early-Stage Breast Cancer in BI-RADS 3 Lesions of Large Population with Deep Learning [0.03%]
基于深度学习的大人群BI-RADS 3类乳腺病变微小癌的预测研究
Congyu Wang,Changzhen Li,Gengxiao Lin
Congyu Wang
Breast cancer accounts for one in four new malignant tumors in women, and misdiagnosis can lead to severe consequences, including delayed treatment. Among patients classified with a BI-RADS 3 rating, the risk of very early-stage malignancy ...
Estimating Snow-Related Daily Change Events in the Canadian Winter Season: A Deep Learning-Based Approach [0.03%]
基于深度学习的加拿大冬季季节性降雪变化估算方法研究
Karim Malik,Isteyak Isteyak,Colin Robertson
Karim Malik
Snow water equivalent (SWE), an essential parameter of snow, is largely studied to understand the impact of climate regime effects on snowmelt patterns. This study developed a Siamese Attention U-Net (Si-Att-UNet) model to detect daily chan...
Detection of Major Depressive Disorder from Functional Magnetic Resonance Imaging Using Regional Homogeneity and Feature/Sample Selective Evolving Voting Ensemble Approaches [0.03%]
基于功能磁共振影像的精神疾病抑郁症检测研究Regional Homogeneity及特征和样本选择性进化的表决集成方法
Bindiya A R,B S Mahanand,Vasily Sachnev et al.
Bindiya A R et al.
Major depressive disorder is a mental illness characterized by persistent sadness or loss of interest that affects a person's daily life. Early detection of this disorder is crucial for providing timely and effective treatment. Neuroimaging...
Visual Neuroplasticity: Modulating Cortical Excitability with Flickering Light Stimulation [0.03%]
视觉神经可塑性：使用闪烁光线调节皮层兴奋性
Francisco J Ávila
Francisco J Ávila
The balance between cortical excitation and inhibition (E/I balance) in the cerebral cortex is critical for cognitive processing and neuroplasticity. Modulation of this balance has been linked to a wide range of neuropsychiatric and neurode...
Bone Mineral Density (BMD) Assessment Using Dual-Energy CT with Different Base Material Pairs (BMPs) [0.03%]
基于不同基材对的双能量CT骨密度评估方法研究
Stefano Piscone,Sara Saccone,Paola Milillo et al.
Stefano Piscone et al.
The assessment of bone mineral density (BMD) is essential for osteoporosis diagnosis. Dual-energy X-ray Absorptiometry (DXA) is the current gold standard, but it has limitations in evaluating trabecular bone and is susceptible to different ...