SoftwareX最新文献_第10页

KneeBones3Dify: Open-source software for segmentation and 3D reconstruction of knee bones from MRI data KneeBones3Dify：根据核磁共振成像数据对膝关节骨骼进行分割和三维重建的开源软件

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-22 DOI: 10.1016/j.softx.2024.101854

Lucia Maddalena , Diego Romano , Francesco Gregoretti , Gianluca De Lucia , Laura Antonelli , Ernesto Soscia , Gabriele Pontillo , Carla Langella , Flavio Fazioli , Carla Giusti , Rosario Varriale

{"title":"KneeBones3Dify: Open-source software for segmentation and 3D reconstruction of knee bones from MRI data","authors":"Lucia Maddalena , Diego Romano , Francesco Gregoretti , Gianluca De Lucia , Laura Antonelli , Ernesto Soscia , Gabriele Pontillo , Carla Langella , Flavio Fazioli , Carla Giusti , Rosario Varriale","doi":"10.1016/j.softx.2024.101854","DOIUrl":"10.1016/j.softx.2024.101854","url":null,"abstract":"<div><p>KneeBones3Dify is a Python software tool that supports detailed analysis of knee pathologies and preoperative planning for knee replacement surgery based on patient-specific 3D models. It produces printable 3D bones in a stereolithography file format by automatically segmenting the femur, patella, and tibia from high-resolution Magnetic Resonance (MR) images with nearly isotropic voxel dimensions. Our software avoids time-consuming and subjective manual segmentation by specialists, offering an accurate and efficient alternative employing GPU acceleration. We validated the results by computing objective metrics against the ground truth voxel-wise segmentation produced for a 3D MR image by specialists, who also confirmed the reconstruction accuracy qualitatively. KneeBones3Dify and annotated data are publicly available, enabling broader research and clinical practice use.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"27 ","pages":"Article 101854"},"PeriodicalIF":2.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024002255/pdfft?md5=f20dcefe678f0f6669dd86b85a8ecb3b&pid=1-s2.0-S2352711024002255-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142039689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

VisUAM: A web-based tool for data visualization in scientific research VisUAM：科学研究数据可视化网络工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-22 DOI: 10.1016/j.softx.2024.101852

Adriana Pérez-Espinosa , Manuel Aguilar-Cornejo , Leonardo Dagdug , José Luis Quiroz-Fabián , Graciela Román-Alonso , Miguel A. Castro-García

{"title":"VisUAM: A web-based tool for data visualization in scientific research","authors":"Adriana Pérez-Espinosa , Manuel Aguilar-Cornejo , Leonardo Dagdug , José Luis Quiroz-Fabián , Graciela Román-Alonso , Miguel A. Castro-García","doi":"10.1016/j.softx.2024.101852","DOIUrl":"10.1016/j.softx.2024.101852","url":null,"abstract":"<div><p>Visualization is essential for interpreting data, especially in scientific research where datasets often come from experiments or simulations. Data visualization techniques vary based on the data type. For example, mapping can illustrate city traffic incidents, while bar plots can identify the most common incidents. This paper presents VisUAM (Visualizador UAM), a web-based tool for creating graphics from various datasets across any domain. The current version of VisUAM supports data from three scientific software tools: Pore Networks, Voronoi Diagrams, and Particle Diffusive Simulator. VisUAM’s architecture allows easy integration of any data type and supports multi-dimensional visualizations, including 2D, 3D, and animations. Its flexibility, web-based accessibility, and adaptability to new visualization needs make VisUAM a versatile and comprehensive platform for researchers.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"27 ","pages":"Article 101852"},"PeriodicalIF":2.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024002231/pdfft?md5=ce7c63587b8cc3073b57d2682ccc3516&pid=1-s2.0-S2352711024002231-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142044524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual CAT: A multi-interface educational platform for algorithmic thinking assessment 虚拟 CAT：用于算法思维评估的多界面教育平台

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-22 DOI: 10.1016/j.softx.2024.101737

Giorgia Adorni , Simone Piatti , Volodymyr Karpenko

{"title":"Virtual CAT: A multi-interface educational platform for algorithmic thinking assessment","authors":"Giorgia Adorni , Simone Piatti , Volodymyr Karpenko","doi":"10.1016/j.softx.2024.101737","DOIUrl":"10.1016/j.softx.2024.101737","url":null,"abstract":"<div><p>The virtual Cross Array Task (CAT) is an educational platform designed to evaluate algorithmic thinking (AT) skills among students within Swiss compulsory education. This tool introduces an adaptable multi-interface system, enabling users to interact via intuitive gesture-based commands or through a visual programming interface that uses drag-and-drop blocks, facilitating a versatile approach to constructing and understanding algorithms. The platform encompasses a comprehensive training module for skill acquisition and a validation module for assessment. The system offers real-time feedback to users during activities, adjusting dynamically based on their actions, providing insights into progress and areas for improvement, thereby facilitating learning and performance enhancement. With multilingual capabilities extended to English, German, French, and Italian, the virtual CAT is intricately crafted to meet the diverse needs of educational contexts across various regions. Preliminary application and evaluation through a small-scale study indicate the virtual CAT’s potential to offer scalable assessment and a robust platform for integrating AT into broader educational and research methodologies, setting the stage for its integration into academic research and daily pedagogical practice.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"27 ","pages":"Article 101737"},"PeriodicalIF":2.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001080/pdfft?md5=5bdbdfaa11cdf2538c32d8e7e0f67694&pid=1-s2.0-S2352711024001080-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142039588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spectrep: A software for spectral representation of text content Spectrep：文本内容光谱表示软件

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-22 DOI: 10.1016/j.softx.2024.101849

Melesio Crespo-Sanchez , Ivan Lopez-Arevalo , Edwin Aldana-Bobadilla , Helena Gomez-Adorno , Jose Luis Gonzalez-Compean

引用次数: 0

FlexiPrune: A Pytorch tool for flexible CNN pruning policy selection FlexiPrune：用于灵活选择 CNN 修剪策略的 Pytorch 工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-21 DOI: 10.1016/j.softx.2024.101858

Cesar G. Pachon , Javier O. Pinzon-Arenas , Dora Ballesteros

引用次数: 0

UCO DWM1001: A tool for managing and processing the UWB DWM1001-DEV development board UCO DWM1001：用于管理和处理 UWB DWM1001-DEV 开发板的工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-19 DOI: 10.1016/j.softx.2024.101848

Antonio Ruiz , Juan Garrido , Francisco Vázquez , Mario L. Ruz

{"title":"UCO DWM1001: A tool for managing and processing the UWB DWM1001-DEV development board","authors":"Antonio Ruiz , Juan Garrido , Francisco Vázquez , Mario L. Ruz","doi":"10.1016/j.softx.2024.101848","DOIUrl":"10.1016/j.softx.2024.101848","url":null,"abstract":"<div><p>UCO DWM1001 is a free software developed to facilitate the work with DWM1001-DEV, one of the most widely used ultra-wideband (UWB) development boards. The software is designed to process, display, and store the relevant information of a UWB network system. The developed tool enables the user to manage the device transparently, establishing a connection, managing communication, and providing a range of features that facilitate the work and study of UWB technology. Communication is based on terminal emulation, whereby received messages are processed in accordance with their properties, the operating mode set, or the application tool used. The software's principal functions comprise real-time data visualisation, data saving, and an integrated terminal emulator for direct communication with the DWM1001-DEV development board. The tool, developed using the Qt framework, is intended to provide researchers with a straightforward method to utilise and assess the performance of DWM1001-DEV in diverse indoor settings, as well as to construct a basic UWB positioning network. Two illustrative examples are presented to demonstrate the capabilities of UCO DWM1001 software.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"27 ","pages":"Article 101848"},"PeriodicalIF":2.4,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S235271102400219X/pdfft?md5=5e150563d7ac31838a7cb0a5b228b0b4&pid=1-s2.0-S235271102400219X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

XCompress: LLM assisted Python-based text compression toolkit XCompress：基于 LLM 的 Python 辅助文本压缩工具包

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-12 DOI: 10.1016/j.softx.2024.101847

Emir Öztürk

引用次数: 0

Corrigendum to “FT Xtraction: Feature Extraction and Visualization of Conversational Video Data for Social and Emotional Analysis” [SoftwareX Volume 27 (2024), 1-8, 101827] FT Xtraction：用于社会和情感分析的对话视频数据的特征提取和可视化" [SoftwareX Volume 27 (2024)，1-8，101827] 的更正

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-10 DOI: 10.1016/j.softx.2024.101845

Tivan Varghese George, Hye Soo Park, Uichin Lee

引用次数: 0

Gecko: A Python library for the generation and mutation of realistic personal identification data at scale Gecko：用于大规模生成和变异真实个人身份数据的 Python 库

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-10 DOI: 10.1016/j.softx.2024.101846

Maximilian Jugl, Toralf Kirsten

引用次数: 0

AI-KM: A distributed multi-view and intelligent knowledge management software AI-KM：分布式多视角智能知识管理软件

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-08-08 DOI: 10.1016/j.softx.2024.101840

Haolin Wen , Songyi Wang , Chaoyu Jiang , Fan Zhang , Jing Li , Xing Luo

{"title":"AI-KM: A distributed multi-view and intelligent knowledge management software","authors":"Haolin Wen , Songyi Wang , Chaoyu Jiang , Fan Zhang , Jing Li , Xing Luo","doi":"10.1016/j.softx.2024.101840","DOIUrl":"10.1016/j.softx.2024.101840","url":null,"abstract":"<div><p>To enhances the security, usability, and intelligence of knowledge management software, this paper develops a novel knowledge management application built upon the Electron cross-platform desktop development framework, Vue JavaScript Framework, and large language models. The software boasts distributed deployment, multi-view information management, and intelligent interaction capabilities. Through distributed deployment, it diversifies the sharing format of information within organizations, effectively addressing conflicts between data security and sharing. The multi-view functionality improves the effectiveness of knowledge presentation, while the large language model facilitates intelligent and natural knowledge querying and application. Finally, illustrative examples from diverse domains such as project management, education, and military applications are utilized to demonstrate the practical utility of the software. Users can significantly enhance the integration and intelligence of knowledge management through this software.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"27 ","pages":"Article 101840"},"PeriodicalIF":2.4,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024002115/pdfft?md5=f6c0960f9e947032bc9eb16cb0609071&pid=1-s2.0-S2352711024002115-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141963278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0