Development and analysis of an algorithm for detecting multiple instances of an object in microscopic images using numerical methods Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.18500/1816-9791-2025-25-1-116-127
This paper presents a method for object detection in microscopy images, focusing on particle detection. The main objective of the research is to develop an algorithm capable of efficiently detecting multiple instances of objects in various scenarios, while maintaining specificity for structures of interest. The algorithm is based on using extremal regions as candidates for detection, followed by evaluating these regions with trained parameters. A key element of the algorithm is its built-in non-overlapping constraint, which enables effective handling of particle clustering. Experimental results on various microscopy datasets confirm the method's robustness to changes in image intensity, particle density, and size. The proposed algorithm serves as a valuable tool in the development of object detection methods for microscopy images and can be applied in both scientific and medical research.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18500/1816-9791-2025-25-1-116-127
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- OA Status
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408039600Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18500/1816-9791-2025-25-1-116-127Digital Object Identifier
- Title
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Development and analysis of an algorithm for detecting multiple instances of an object in microscopic images using numerical methodsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-21Full publication date if available
- Authors
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Sergey Yur'evich Ganigin, Andrey V. Davydov, Alexander Sergeevich Nechaev, V.V. KiyashchenkoList of authors in order
- Landing page
-
https://doi.org/10.18500/1816-9791-2025-25-1-116-127Publisher landing page
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https://mmi.sgu.ru/system/files_force/text-pdf/2025/02/116-127ganigin_et_al.pdf?download=1Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://mmi.sgu.ru/system/files_force/text-pdf/2025/02/116-127ganigin_et_al.pdf?download=1Direct OA link when available
- Concepts
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Computer science, Object (grammar), Artificial intelligence, Object based, Algorithm, Pattern recognition (psychology), Computer visionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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