{"title":"PlasmaCell CAD: A computer-aided diagnosis software tool for plasma cell recognition and characterization in microscopic images","authors":"Rasoul Kasbgar , Alireza Vard","doi":"10.1016/j.ijmedinf.2025.105869","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and objective</h3><div>In the traditional diagnostic process for multiple myeloma cancer, a pathologist screens prepared blood samples using a microscope to detect, classify, and count plasma cells. This manual approach is time-consuming, exhausting, and prone to human errors. Consequently, medical experts and researchers are highly interested in any tool that partially or entirely automates this process. To achieve this goal, we developed a software tool called PlasmaCell CAD to analyze effective cells for diagnosing multiple myeloma cancers through microscopic images.</div></div><div><h3>Methods</h3><div>In the proposed software, to detect and segment cells, we exploit the Mask-RCNN model that has been enhanced by leveraging the circlet transform for the anchor generation. Also, we use the SVM classifier to identify normal and abnormal plasma cells in this software. Moreover, we designed and developed a graphical user interface (GUI) for the PlasmaCell CAD so that users would be able to work with it more easily.</div></div><div><h3>Results</h3><div>we considered the performance of the proposed software on both a publicly available dataset and a locally collected dataset. The experimental results demonstrated the capability and efficiency of PlasmaCell CAD software in segmenting and classifying plasma cells as well as its ease of use.</div></div><div><h3>Conclusions</h3><div>PlasmaCell CAD is a free software tool that can easily be downloaded and installed on any computers running Windows. PlasmaCell CAD provides a user-friendly GUI with several image processing and visualization facilities for the user that can accelerate the diagnosis process. In light of promising results, PlasmaCell CAD software can be useful to pathologists in helping to diagnose multiple myeloma cancer.</div></div>","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"198 ","pages":"Article 105869"},"PeriodicalIF":3.7000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386505625000863","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Background and objective
In the traditional diagnostic process for multiple myeloma cancer, a pathologist screens prepared blood samples using a microscope to detect, classify, and count plasma cells. This manual approach is time-consuming, exhausting, and prone to human errors. Consequently, medical experts and researchers are highly interested in any tool that partially or entirely automates this process. To achieve this goal, we developed a software tool called PlasmaCell CAD to analyze effective cells for diagnosing multiple myeloma cancers through microscopic images.
Methods
In the proposed software, to detect and segment cells, we exploit the Mask-RCNN model that has been enhanced by leveraging the circlet transform for the anchor generation. Also, we use the SVM classifier to identify normal and abnormal plasma cells in this software. Moreover, we designed and developed a graphical user interface (GUI) for the PlasmaCell CAD so that users would be able to work with it more easily.
Results
we considered the performance of the proposed software on both a publicly available dataset and a locally collected dataset. The experimental results demonstrated the capability and efficiency of PlasmaCell CAD software in segmenting and classifying plasma cells as well as its ease of use.
Conclusions
PlasmaCell CAD is a free software tool that can easily be downloaded and installed on any computers running Windows. PlasmaCell CAD provides a user-friendly GUI with several image processing and visualization facilities for the user that can accelerate the diagnosis process. In light of promising results, PlasmaCell CAD software can be useful to pathologists in helping to diagnose multiple myeloma cancer.
期刊介绍:
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.