Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers [0.03%]
基于视觉变压器的智能特征选择的手稿历史人物识别深度学习系统
Merouane Boudraa,Akram Bennour,Mouaaz Nahas et al.
Merouane Boudraa et al.
Identifying the scriptwriter in historical manuscripts is crucial for historians, providing valuable insights into historical contexts and aiding in solving historical mysteries. This research presents a robust deep learning system designed...
Performance Calibration of the Wavefront Sensor's EMCCD Detector for the Cool Planets Imaging Coronagraph Aboard CSST [0.03%]
CSST行星成像 coronagraph波前传感器EMCCD探测器性能校准
Jiangpei Dou,Bingli Niu,Gang Zhao et al.
Jiangpei Dou et al.
The wavefront sensor (WFS), equipped with an electron-multiplying charge-coupled device (EMCCD) detector, is a critical component of the Cool Planets Imaging Coronagraph (CPI-C) on the Chinese Space Station Telescope (CSST). Precise calibra...
MedSAM/MedSAM2 Feature Fusion: Enhancing nnUNet for 2D TOF-MRA Brain Vessel Segmentation [0.03%]
融合MedSAM和MedSAM2的特征以增强nnUNet进行2D TOF-MRA脑血管分割
Han Zhong,Jiatian Zhang,Lingxiao Zhao
Han Zhong
Accurate segmentation of brain vessels is critical for diagnosing cerebral stroke, yet existing AI-based methods struggle with challenges such as small vessel segmentation and class imbalance. To address this, our study proposes a novel 2D ...
Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction [0.03%]
基于微生物分类特征提取的多类别显微图像分类自动化技术
Aleksei Samarin,Alexander Savelev,Aleksei Toropov et al.
Aleksei Samarin et al.
This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable ta...
Decolorization with Warmth-Coolness Adjustment in an Opponent and Complementary Color System [0.03%]
基于对立互补色理论的温冷色调调整褪色算法
Oscar Sanchez-Cesteros,Mariano Rincon
Oscar Sanchez-Cesteros
Creating grayscale images from a color reality has been an inherent human practice since ancient times, but it became a technological challenge with the advent of the first black-and-white televisions and digital image processing. Decoloriz...
Comparative Analysis of Ultrasonography and MicroCT Imaging for Organ Size Evaluation in Mice [0.03%]
超声波和微计算机断层扫描影像技术在小鼠器官体积评估中的比较分析
Juan Jose Jimenez Catalan,Marina Ferrer Clotas,Juan Antonio Camara Serrano
Juan Jose Jimenez Catalan
In this work, the authors compared microCT and in vivo ultrasonography in terms of accuracy and efficacy for measuring the volume of various organs in mice. Two quantification protocols were applied: ellipsoidal volume measuring maximum dia...
Quantitative Ultrashort Echo Time Magnetization Transfer Imaging of the Osteochondral Junction: An In Vivo Knee Osteoarthritis Study [0.03%]
膝关节骨关节炎的定量超短回波时间磁化转移成像研究：来自人体的研究
Dina Moazamian,Mahyar Daskareh,Jiyo S Athertya et al.
Dina Moazamian et al.
Osteoarthritis (OA) is the most prevalent degenerative joint disorder worldwide, causing significant declines in quality of life. The osteochondral junction (OCJ), a critical structural interface between deep cartilage and subchondral bone,...
Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising [0.03%]
基于增强卷积自编码去噪的闪烁影像剂量降低方法研究
Nikolaos Bouzianis,Ioannis Stathopoulos,Pipitsa Valsamaki et al.
Nikolaos Bouzianis et al.
Objective: This study proposes a novel deep learning approach for enhancing low-dose bone scintigraphy images using an Enhanced Convolutional Autoencoder (ECAE), aiming to reduce patient radiation exposure while preservin...
Generation of Synthetic Non-Homogeneous Fog by Discretized Radiative Transfer Equation [0.03%]
基于离散化辐射传输方程的合成非均匀雾生成方法
Marcell Beregi-Kovacs,Balazs Harangi,Andras Hajdu et al.
Marcell Beregi-Kovacs et al.
The synthesis of realistic fog in images is critical for applications such as autonomous navigation, augmented reality, and visual effects. Traditional methods based on Koschmieder's law or GAN-based image translation typically assume homog...
Optical Coherence Tomography (OCT) Findings in Post-COVID-19 Healthcare Workers [0.03%]
新型冠状病毒肺炎后的医疗工作者的光学 coherence 技术研究发现
Sanela Sanja Burgić,Mirko Resan,Milka Mavija et al.
Sanela Sanja Burgić et al.
Recent evidence suggests that SARS-CoV-2 may induce subtle anatomical changes in the retina, detectable through advanced imaging techniques. This retrospective case-control study utilized optical coherence tomography (OCT) to assess medium-...