X-Balloon：一个基于云的平台，用于数字病理图像的注释和强化深度学习

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-07-24 DOI:10.1016/j.softx.2025.102287

Odysseas Tsakai , Andreas Miltiadous , Panagiotis N. Smyrlis , Alexandros T. Tzallas , Markos G. Tsipouras , Nikolaos Giannakeas

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引用次数: 0

摘要

本文介绍了X-Balloon，这是一个基于云的平台，旨在简化注释工作流程，并加强深度学习模型，专门用于活检或数字病理图像分析。该平台集成了一个模块化架构，包括后端、注释和人工智能处理模块，以解决传统病理工作流程中的低效率问题。通过利用Mask R-CNN进行自动分割，X-Balloon在识别病理特征方面达到了很高的精度，从而提高了诊断的准确性。它基于浏览器的界面使病理学家之间的无缝协作成为可能，同时通过自动化和手动改进的结合减少了注释工作。X-Balloon的开源可用性和可定制架构使其成为推进人工智能与数字病理学整合的宝贵工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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X-Balloon: A cloud-based platform for annotation and reinforced deep learning in digital pathology images

This paper introduces X-Balloon, a cloud-based platform designed to streamline annotation workflows and reinforce deep learning models specifically for biopsy or digital pathology image analysis. The platform integrates a modular architecture comprising a Backend, Annotation, and AI Processing module to address inefficiencies in traditional pathology workflows. By leveraging Mask R-CNN for automated segmentation, X-Balloon achieves high precision in identifying pathological features, thereby enhancing diagnostic accuracy. Its browser-based interface enables seamless collaboration among pathologists while reducing annotation effort through a combination of automation and manual refinement. X-Balloon’s open-source availability and customizable architecture make it a valuable tool for advancing the integration of AI into digital pathology.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.