A comparative analysis of watershed and edge based segmentation of red blood cells

Ajala, F. A.; Fenwa, OD; Aku, MA

doi:10.14194/ijmbr.4.1.1

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…Searching the term “meditation” in the PubMed database today produces more than 4000 citations. Although there have been secular trends in research, beginning with Zen in the 1950s, Transcendental Meditation in the 1960s, and Mindfulness meditation in the 1970s, a large percentage of all meditation studies have been published in the last ten years, including the bulk of studies published using fMRI technology [3]. In addition to interest within the research community, national surveys consistently show meditation to rank as one of the most commonly used complementary health practices (CHP) among adults in the United States.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and patterns of use of mantra, mindfulness and spiritual meditation among adults in the United States

Burke

Lam

Stussman

et al. 2017

BMC Complement Altern Med

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BackgroundDespite a growing body of scientific literature exploring the nature of meditation there is limited information on the characteristics of individuals who use it. This is particularly true of comparative studies examining prevalence and predictors of use of various forms of meditation.MethodsA secondary analysis was conducted using data from the 2012 National Health Interview Survey (n = 34,525). Three popular forms of meditation were compared—mantra, mindfulness, and spiritual—to determine lifetime and 12-month use related to key sociodemographic, health behavior, health status, and healthcare access variables.ResultsThe 12-month prevalence for meditation practice was 3.1% for spiritual meditation, 1.9% for mindfulness meditation, and 1.6% for mantra meditation. This represents approximately 7.0, 4.3, and 3.6 million adults respectively. A comparison across the three meditation practices found many similarities in user characteristics, suggesting interest in meditation may be more related to the type of person meditating than to the type of practice selected. Across meditation styles use was more prevalent among respondents who were female, non-Hispanic White, college educated, physically active; who used other complementary health practices; and who reported depression. Higher utilization of conventional healthcare services was one of the strongest predictors of use of all three styles. In addition to similarities, important distinctions were observed. For example, spiritual meditation practice was more prevalent among former drinkers. This may reflect use of spiritual meditation practices in support of alcohol treatment and sobriety. Reasons for use of meditation were examined using the sample of respondents who practiced mindfulness meditation. Wellness and prevention (74%) was a more common reason than use to treat a specific health condition (30%). Common reasons for use included stress management (92%) and emotional well-being (91%), and to support other health behaviors. Meditation was viewed positively because it was self-care oriented (81%) and focused on the whole person (79%).ConclusionMeditation appears to provide an accessible, self-care resource that has potential value for mental health, behavioral self-regulation, and integrative medical care. Considering consumer preference for distinct types of meditation practices, understanding the underlying mechanisms, benefits, and applications of practice variations is important.

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Section: Introductionmentioning

confidence: 99%

Prevalence and patterns of use of mantra, mindfulness and spiritual meditation among adults in the United States

Burke

Lam

Stussman

et al. 2017

BMC Complement Altern Med

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“…Ko [8] proposed a new image resizing method using seam carving and a Saliency Strength Map (SSM) to preserve important contents, such as white blood cells included in blood cell images. Ajala [9] proposed a method to perform a comparative analysis between edge-based segmentation and watershed segmentation on images of the red blood cell.…”

Section: Introductionmentioning

confidence: 99%

Computer Aided Diagnosis for Screening the Shape and Size of Leukocyte Cell Nucleus based on Morphological Image

Supriyanti¹,

Chrisanty²,

Ramadhani³

et al. 2018

IJECE

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Hematology tests are examinations that aim to know the state of blood and its components, one of which is leukocytes. Hematologic examinations such as the number and morphology of blood generally still done manually, especially by a specialist pathologist. Despite the fact that today there is equipment that can identify morphological automatically, but for developing countries like Indonesia, it can only be done in the capital city. Low accuracy due to the differences identified either by doctors or laboratory staff, makes a great reason to use computer assistance, especially with the rapid technological developments at this time. In this paper, we will emphasize our experiment to screen leucocyte cell nucleus by identifying the contours of the cell nucleus, diameter, circumference and area of these cells based on digital image processing techniques, especially using the morphological image. The results obtained are promising for further development in the development of computer-aided diagnosis for identification of leukocytes based on a simple and inexpensive equipment.

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“…Watershed algorithm is used in [8,12,13]. A comparative analysis of edge-based segmentation and watershed segmentation on images of the red blood cells is reported in [13].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of White Blood cells Segmentation using Otsu Threshold and Watershed Transformation

Salem

Sobhy

Dosoky

2016

JBEMi

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The aim of white blood cells (WBC) segmentation is to separate leukocytes from other different components in the blood peripheral image. In this paper, a method to segment white blood cells from microscopic images is proposed. The proposed method consists of three stages; Pre-processing, segmentation, and finally post-processing. In the pre-processing step; the color correction is used to enhance the image. In the segmentation step; two techniques have been used which are Otsu threshold and watershed marker-controlled followed by feature extraction. Shape features are used to differentiate between single and grouped cells. Artifacts are removed in the post-processing step. Experimental results show that the accuracy is 99.3% and 93.3% for the watershed based and the Otsu threshold based methods respectively. Experiments demonstrate that watershed marker-controlled outperforms Otsu threshold in the segmentation of WBC.

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A comparative analysis of watershed and edge based segmentation of red blood cells

Cited by 5 publications

References 4 publications

Prevalence and patterns of use of mantra, mindfulness and spiritual meditation among adults in the United States

Prevalence and patterns of use of mantra, mindfulness and spiritual meditation among adults in the United States

Computer Aided Diagnosis for Screening the Shape and Size of Leukocyte Cell Nucleus based on Morphological Image

A Comparative Study of White Blood cells Segmentation using Otsu Threshold and Watershed Transformation

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