Tuberculin skin test checker using digital image processing

Pedro, John Marnel M. San; Barfeh, Davood Pour Yousefian

doi:10.1109/iccre.2018.8376471

Cited by 3 publications

(4 citation statements)

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“…DISCUSSION Detecting tuberculosis is one way by using MTST, which is an immunological test for tuberculosis and is being used globally by health institutions for many years now. MTST determine whether the patient has a prior exposure or not to Mycobacterium tuberculosis (Hoeltke, 2013;Mastrolia, 2019;San Pedro, 2018).…”

Section: Resultsmentioning

confidence: 99%

Nursing Students' Knowledge and Practice regarding Mantoux Skin Test Procedure

Ahmed

ELghool

Abdel-Raoof

2022

Mansoura Nursing Journal

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Tuberculosis (TB) is second leading cause of death from an infectious disease worldwide, as well cause disease among millions of people each year. Screening can lead to early diagnosis and treatment thereby reducing TB related morbidity and mortality, Mantoux tuberculin skin test (MTST) was the standard method for detecting latent TB infection, Therefore, the current study aimed to assess students` knowledge and practice regarding Mantoux skin test procedure, through a cross sectional study on a convenient sample composed of 200 undergraduate nursing students enrolled in the course of community health nursing 2nd semester, academic year 2021-2022, by three two structured self-administrated questionnaires and an observation checklist. Results of the present study revealed that 93% of nursing students had poor total level of knowledge with a mean 10.0500 (3.45357) and 71.5% had proficient total level of practice with a mean 43.5650(3.54522); concluding that most of nursing students had poor total level of knowledge and less than three quarters had proficient total level of practice regarding Mantoux skin test procedure, so it is recommended to design educational session to raise nursing students' knowledge regarding Mantoux skin test procedure.

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Section: Resultsmentioning

confidence: 99%

Nursing Students' Knowledge and Practice regarding Mantoux Skin Test Procedure

Ahmed

ELghool

Abdel-Raoof

2022

Mansoura Nursing Journal

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“…Changes in pixel values are a representation of the presence of colour intensity in a particular area of the image. The production of new images during the scaling of picture pixels may not result in image quality loss [6]. The elimination of unwanted pixels from the image requires scaling the pixel information, and as a consequence, the image is ready for preprocessing.…”

Section: Introductionmentioning

confidence: 99%

A Novel Deep Convolutional Neural Network for Diagnosis of Skin Disease

Kodepogu¹,

Annam²,

Vipparla³

et al. 2022

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Due to its intricacy, dermatology presents the most challenging and uncertain terrain for diagnosis. Skin conditions like Carcinoma and Melanoma are frequently very challenging to identify in the early stages and are much more challenging to define independently. The use of pattern recognition models to automate detection has been studied by a number of writers. This research describes a novel Deep Convolutional Neural Network (DCNN) for Skin Disease Detection. The photographs of skin would undergo processing to remove unwanted noise as well as to improve the photos. The performance of classification will be greatly impacted by the pixel values of a picture. The picture is classified using the softmax classifier method by feature extraction utilising DCCN, and a diagnosis report is produced as the result. In comparison to more classic approaches like KNN (K-Nearest Neighbour) and CNN, this methodology will provide results faster and with improved accuracy, precision, and recall. With a detection time of 10,000 milliseconds, DCNN achieved accuracy, precision, and recall percentages of 98.4%, 96.3%, and 97.2%, respectively.

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“…Generally, in TB skin test, it is diagnosed by using millimeter ruler to measure the size of the infectious site, or wheal. The positive-result wheal size, meaning that the patient happens to have tuberculosis infection, will then be categorized into 3 levels, from low risk to high risk depending on the backgrounds of the patients [1 ] . By the method of measurement, it may result in error diagnosis as it is a manual measurement, and there can also be a possible consequence of the error from wrongly diagnosing.…”

Section: Introductionmentioning

confidence: 99%

“…One of the common approaches is to create a measurement system with the use of image processing along with the test and make the test able to function either automatically or semi-automatically. According to Pedro and Barfeh's research [1], they mimic their approach onto tuberculin test by applying a marker onto a wheal for the system, the same way it was apply for manual measurement and use edge detection to measure the Euclidean distance of the infection site. This approach has an accuracy of 91.53%.…”

Section: Introductionmentioning

confidence: 99%

A Development of Low-Cost Optical Image Device for Tuberculin Skin Test

2021

ECTI Transactions on Application Research and Development

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Tuberculin skin test checker using digital image processing

Cited by 3 publications

References 0 publications

Nursing Students' Knowledge and Practice regarding Mantoux Skin Test Procedure

Nursing Students' Knowledge and Practice regarding Mantoux Skin Test Procedure

A Novel Deep Convolutional Neural Network for Diagnosis of Skin Disease

A Development of Low-Cost Optical Image Device for Tuberculin Skin Test

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