PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images
This paper presents a Python-based tool designed to simplify subjective assessment studies for diagnostic value assessment of 2D medical images. The tool facilitates rapid questionnaire generation, allowing users to integrate their data into predefined templates, and provides utilities to statistica...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-05-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025000950 |
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| _version_ | 1850139656768716800 |
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| author | Gorana Gojić Vladimir Vincan Ognjen Kundačina Saša Taloši Dragiša Mišković |
| author_facet | Gorana Gojić Vladimir Vincan Ognjen Kundačina Saša Taloši Dragiša Mišković |
| author_sort | Gorana Gojić |
| collection | DOAJ |
| description | This paper presents a Python-based tool designed to simplify subjective assessment studies for diagnostic value assessment of 2D medical images. The tool facilitates rapid questionnaire generation, allowing users to integrate their data into predefined templates, and provides utilities to statistically and visually analyze collected responses. By reducing the technical overhead of study preparation, the tool allows users to focus on knowledge discovery while providing easy-to-use questionnaires for clinicians with no technical expertise required. |
| format | Article |
| id | doaj-art-3cebfc2cd10b4988a94b0078f0484ff9 |
| institution | OA Journals |
| issn | 2352-7110 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-3cebfc2cd10b4988a94b0078f0484ff92025-08-20T02:30:10ZengElsevierSoftwareX2352-71102025-05-013010212810.1016/j.softx.2025.102128PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical imagesGorana Gojić0Vladimir Vincan1Ognjen Kundačina2Saša Taloši3Dragiša Mišković4The Institute for Artificial Intelligence Research and Development of Serbia, Fruškogorska 1, Novi Sad, Serbia; Corresponding author.The Institute for Artificial Intelligence Research and Development of Serbia, Fruškogorska 1, Novi Sad, SerbiaThe Institute for Artificial Intelligence Research and Development of Serbia, Fruškogorska 1, Novi Sad, SerbiaThe Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, Novi Sad, SerbiaThe Institute for Artificial Intelligence Research and Development of Serbia, Fruškogorska 1, Novi Sad, SerbiaThis paper presents a Python-based tool designed to simplify subjective assessment studies for diagnostic value assessment of 2D medical images. The tool facilitates rapid questionnaire generation, allowing users to integrate their data into predefined templates, and provides utilities to statistically and visually analyze collected responses. By reducing the technical overhead of study preparation, the tool allows users to focus on knowledge discovery while providing easy-to-use questionnaires for clinicians with no technical expertise required.http://www.sciencedirect.com/science/article/pii/S2352711025000950Medical imagingDiagnostic valueSubjective assessmentMachine learning |
| spellingShingle | Gorana Gojić Vladimir Vincan Ognjen Kundačina Saša Taloši Dragiša Mišković PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images SoftwareX Medical imaging Diagnostic value Subjective assessment Machine learning |
| title | PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images |
| title_full | PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images |
| title_fullStr | PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images |
| title_full_unstemmed | PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images |
| title_short | PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images |
| title_sort | pymed dx a python tool for diagnostic value evaluation of 2d medical images |
| topic | Medical imaging Diagnostic value Subjective assessment Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2352711025000950 |
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