Deep Learning-Based Nuclei Segmentation and Melanoma Detection in Skin Histopathological Image Using Test Image Augmentation and Ensemble Model [0.03%]
基于深度学习的皮肤组织病理图像细胞核分割和黑色素瘤检测（测试图像增强与集成模型）
Mohammadesmaeil Akbarpour,Hamed Fazlollahiaghamalek,Mahdi Barati et al.
Mohammadesmaeil Akbarpour et al.
Histopathological images play a crucial role in diagnosing skin cancer. However, due to the very large size of digital histopathological images (typically in the order of billion pixels), manual image analysis is tedious and time-consuming....
Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature Fusion [0.03%]
基于深度学习集成学习和特征融合的孟加拉语情感识别
Md Shahid Ahammed Shakil,Fahmid Al Farid,Nitun Kumar Podder et al.
Md Shahid Ahammed Shakil et al.
Emotion recognition in speech is essential for enhancing human-computer interaction (HCI) systems. Despite progress in Bangla speech emotion recognition, challenges remain, including low accuracy, speaker dependency, and poor generalization...
Digital Image Processing and Convolutional Neural Network Applied to Detect Mitral Stenosis in Echocardiograms: Clinical Decision Support [0.03%]
数字图像处理和卷积神经网络在超声心动图中检测二尖瓣狭窄的临床决策支持中的应用研究
Genilton de França Barros Filho,José Fernando de Morais Firmino,Israel Solha et al.
Genilton de França Barros Filho et al.
The mitral valve is the most susceptible to pathological alterations, such as mitral stenosis, characterized by failure of the valve to open completely. In this context, the objective of this study was to apply digital image processing (DIP...
Extract Nutritional Information from Bilingual Food Labels Using Large Language Models [0.03%]
利用大型语言模型从双语食品标签中提取营养信息
Fatmah Y Assiri,Mohammad D Alahmadi,Mohammed A Almuashi et al.
Fatmah Y Assiri et al.
Food product labels serve as a critical source of information, providing details about nutritional content, ingredients, and health implications. These labels enable Food and Drug Authorities (FDA) to ensure compliance and take necessary he...
PU-DZMS: Point Cloud Upsampling via Dense Zoom Encoder and Multi-Scale Complementary Regression [0.03%]
基于密集缩放编码和多尺度互补回归的点云上采样方法
Shucong Li,Zhenyu Liu,Tianlei Wang et al.
Shucong Li et al.
Point cloud imaging technology usually faces the problem of point cloud sparsity, which leads to a lack of important geometric detail. There are many point cloud upsampling networks that have been designed to solve this problem. However, th...
A Review on Deep Learning Methods for Glioma Segmentation, Limitations, and Future Perspectives [0.03%]
基于深度学习的胶质瘤分割方法、局限性及未来前景综述
Cecilia Diana-Albelda,Álvaro García-Martín,Jesus Bescos
Cecilia Diana-Albelda
Accurate and automated segmentation of gliomas from Magnetic Resonance Imaging (MRI) is crucial for effective diagnosis, treatment planning, and patient monitoring. However, the aggressive nature and morphological complexity of these tumors...
Research on the Accessibility of Different Colour Schemes for Web Resources for People with Colour Blindness [0.03%]
色盲人士访问不同配色方案的网页资源的研究
Daiva Sajek,Olena Korotenko,Tetiana Kyrychok
Daiva Sajek
This study is devoted to the analysis of the perception of colour schemes of web resources by users with different types of colour blindness (colour vision deficiency). The purpose of this study is to develop recommendations for choosing th...
Placido Sub-Pixel Edge Detection Algorithm Based on Enhanced Mexican Hat Wavelet Transform and Improved Zernike Moments [0.03%]
基于增强型Mexican帽小波变换和改进的Zernike矩的Placido亚像素边缘检测算法
Yujie Wang,Jinyu Liang,Yating Xiao et al.
Yujie Wang et al.
In order to meet the high-precision location requirements of the corneal Placido ring edge in corneal topographic reconstruction, this paper proposes a sub-pixel edge detection algorithm based on multi-scale and multi-position enhanced Mexi...
Evaluation of Transfer Learning Efficacy for Surgical Suture Quality Classification on Limited Datasets [0.03%]
有限数据集下的手术缝合质量分类中迁移学习有效性评估
Roman Ishchenko,Maksim Solopov,Andrey Popandopulo et al.
Roman Ishchenko et al.
This study evaluates the effectiveness of transfer learning with pre-trained convolutional neural networks (CNNs) for the automated binary classification of surgical suture quality (high-quality/low-quality) using photographs of three sutur...
Systematic and Individualized Preparation of External Ear Canal Implants: Development and Validation of an Efficient and Accurate Automated Segmentation System [0.03%]
外耳道植入物的系统和个性化制备：高效且精确的自动分割系统的开发与验证
Yanjing Luo,Mohammadtaha Kouchakinezhad,Felix Repp et al.
Yanjing Luo et al.
External ear canal (EEC) stenosis, often associated with cholesteatoma, carries a high risk of postoperative restenosis despite surgical intervention. While individualized implants offer promise in preventing restenosis, the high morphologi...