Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges
Measurement of Morphological Blood Cell Parameter (MBCP) plays a key role in hematological examination and diagnosis of various diseases. Recently, Cellular Image Analysis (CIA) techniques have been widely used in clinical diagnosis. Nowadays, these CIA techniques are mainly based on image acquisiti...
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Format: | Article |
Language: | English |
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Elsevier
2022-12-01
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Series: | Measurement: Sensors |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917422000642 |
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author | Imran Ahmed Eulalia Balestrieri Ioan Tudosa Francesco Lamonaca |
author_facet | Imran Ahmed Eulalia Balestrieri Ioan Tudosa Francesco Lamonaca |
author_sort | Imran Ahmed |
collection | DOAJ |
description | Measurement of Morphological Blood Cell Parameter (MBCP) plays a key role in hematological examination and diagnosis of various diseases. Recently, Cellular Image Analysis (CIA) techniques have been widely used in clinical diagnosis. Nowadays, these CIA techniques are mainly based on image acquisition followed by digital processing for image segmentation and measurement of MBCP. This paper presents an overview of segmentation methods currently used for measurement of MBCP. Furthermore, main challenges and limitations related to metrological aspects that can affect the performances of these methods are also highlighted. |
first_indexed | 2024-04-13T00:02:27Z |
format | Article |
id | doaj.art-6f7b1a377eba4d4da3628a1cc7d6779e |
institution | Directory Open Access Journal |
issn | 2665-9174 |
language | English |
last_indexed | 2024-04-13T00:02:27Z |
publishDate | 2022-12-01 |
publisher | Elsevier |
record_format | Article |
series | Measurement: Sensors |
spelling | doaj.art-6f7b1a377eba4d4da3628a1cc7d6779e2022-12-22T03:11:19ZengElsevierMeasurement: Sensors2665-91742022-12-0124100430Segmentation techniques for morphometric measurements of blood cells: Overview and research challengesImran Ahmed0Eulalia Balestrieri1Ioan Tudosa2Francesco Lamonaca3Department of Engineering, University of Sannio, Benevento, Italy; Corresponding author.Department of Engineering, University of Sannio, Benevento, ItalyDepartment of Engineering, University of Sannio, Benevento, ItalyDepartment DIMES, University of Calabria, Arcavacata di Rende, ItalyMeasurement of Morphological Blood Cell Parameter (MBCP) plays a key role in hematological examination and diagnosis of various diseases. Recently, Cellular Image Analysis (CIA) techniques have been widely used in clinical diagnosis. Nowadays, these CIA techniques are mainly based on image acquisition followed by digital processing for image segmentation and measurement of MBCP. This paper presents an overview of segmentation methods currently used for measurement of MBCP. Furthermore, main challenges and limitations related to metrological aspects that can affect the performances of these methods are also highlighted.http://www.sciencedirect.com/science/article/pii/S2665917422000642Blood cell segmentationMorphometric parametersHematologyImage processingMachine learningMicroscopic images |
spellingShingle | Imran Ahmed Eulalia Balestrieri Ioan Tudosa Francesco Lamonaca Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges Measurement: Sensors Blood cell segmentation Morphometric parameters Hematology Image processing Machine learning Microscopic images |
title | Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges |
title_full | Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges |
title_fullStr | Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges |
title_full_unstemmed | Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges |
title_short | Segmentation techniques for morphometric measurements of blood cells: Overview and research challenges |
title_sort | segmentation techniques for morphometric measurements of blood cells overview and research challenges |
topic | Blood cell segmentation Morphometric parameters Hematology Image processing Machine learning Microscopic images |
url | http://www.sciencedirect.com/science/article/pii/S2665917422000642 |
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