SEPO-IR：计算感染率的基于软件的评估过程

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

SoftwareX Pub Date : 2025-04-17 DOI:10.1016/j.softx.2025.102159

Hongseok Oh , Hanseul Oh , Jaemin Jeong , Soochong Kim , Kyungchang Jeong , Sang-Hwan Hyun , Ji-Hoon Jeong , Young-Duk Seo , Euijong Lee

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引用次数: 0

摘要

病理学对于理解和治疗疾病至关重要，并且在很大程度上基于客观和定量的标准。虽然免疫组织化学（IHC）和数字病理学（DP）的进步显著改善了定量疾病检测的方法，但现有的研究主要集中在异常生物标志物的检测上。因此，由于技术上的困难，特别是在特征提取方面，感染程度的定量评估经常被忽视。为了解决这些问题，我们提出了一个自动的基于图像的系统来计算组织感染率。该系统准确地确定了感染区域的比例，减少了人为的偏见，提高了效率，从而产生了更可靠的诊断和治疗计划。所提出的方法的验证显示与病理学家的评估非常高的相关性。此外，该软件是一个易于使用的应用程序，可以显著提高DP研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

SEPO-IR: Software-based evaluation process for calculating infection rate

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SEPO-IR: Software-based evaluation process for calculating infection rate

Pathology is crucial for understanding and treating diseases, and is heavily based on objective and quantitative criteria. While advances in immunohistochemistry (IHC) and digital pathology (DP) have significantly improved methods for quantitative disease detection, existing research has primarily focused on the detection of abnormal biomarkers. As a result, the quantitative assessment of infection extent has frequently been overlooked owing to technical difficulties, particularly in feature extraction. To address these issues, we propose an automated image-based system for calculating tissue infection rates. This system accurately determines the proportion of infected areas, reducing human bias and increasing efficiency, resulting in more reliable diagnostics and treatment planning. Validation of the proposed method shows a very high correlation with pathologists’ assessments. Furthermore, this software is an easy-to-use application that can significantly improve DP research.

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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.