Diagnostic accuracy of chest X-rays acquired using a digital camera for low-cost teleradiology

Szot, Agnieszka; Jacobson, Francine L.; Munn, Samson; Jazayeri, Darius; Nardell, Edward A.; Harrison, David; Drosten, Ralph; Ohno-Machado, Lucila; Smeaton, Laura; Fraser, Hamish

doi:10.1016/j.ijmedinf.2003.10.002

Cited by 47 publications

(48 citation statements)

References 27 publications

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“…6). Plain radiographs can also be photographed and recreated in JPEG (Joint Photographic Experts Group) format [45,46]. JPEG images can then be converted into DICOM (Digital Imaging and Communication in Medicine) format; a PACS conversion facility is essential to the process.…”

Section: Teleradiologymentioning

confidence: 99%

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Paediatric radiology seen from Africa. Part I: providing diagnostic imaging to a young population

et al. 2011

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Paediatric radiology requires dedicated equipment, specific precautions related to ionising radiation, and specialist knowledge. Developing countries face difficulties in providing adequate imaging services for children. In many African countries, children represent an increasing proportion of the population, and additional challenges follow from extreme living conditions, poverty, lack of parental care, and exposure to tuberculosis, HIV, pneumonia, diarrhoea and violent trauma. Imaging plays a critical role in the treatment of these children, but is expensive and difficult to provide. The World Health Organisation initiatives, of which the World Health Imaging System for Radiography (WHIS-RAD) unit is one result, needs to expand into other areas such as the provision of maintenance servicing. New initiatives by groups such as Rotary and the World Health Imaging Alliance to install WHIS-RAD units in developing countries and provide digital solutions, need support. Paediatric radiologists are needed to offer their services for reporting, consultation and quality assurance for free by way of teleradiology. Societies for paediatric radiology are needed to focus on providing a volunteer teleradiology reporting group, information on child safety for basic imaging, guidelines for investigations specific to the disease spectrum, and solutions for optimising imaging in children.

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Section: Teleradiologymentioning

confidence: 99%

“…For MSF facilities, computed radiography systems are therefore recommended over the use of filmscreen radiography to take advantage of opportunities for teleradiology consultation. At MSF facilities that have access to only film screen radiography, films are photographed with digital cameras for use in teleradiology [45,46].…”

Section: Ngos and Outreach Programsmentioning

confidence: 99%

Paediatric radiology seen from Africa. Part I: providing diagnostic imaging to a young population

et al. 2011

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“…Because of lack of high-bandwidth networks and advanced devices, real-time interactive telemedicine is not usually accessible in developing or underdeveloped countries [6]. Store-and-forward telemedicine (also known as prerecorded or asynchronous) is a telecommunications technique in which information stored and then sent to a consulting provider for interpretation, diagnosis, confirmatory or second opinion, or for any reason that the input of the consulting provider is requested [7].…”

Section: Introductionmentioning

confidence: 99%

“…As a technique for teleradiology, many images taken by a digital camera can be sent to different geographical areas, and initial studies have shown this technique to be sufficient for many diagnoses [15][16][17]. To assess the performance of digital cameras, evaluation of diagnostic accuracy between radiographic films (radiographs) and digital images provided with digital cameras has become a part of numerous teleradiology researches [13,15,18,19].…”

Section: Introductionmentioning

confidence: 99%

“…To assess the performance of digital cameras, evaluation of diagnostic accuracy between radiographic films (radiographs) and digital images provided with digital cameras has become a part of numerous teleradiology researches [13,15,18,19]. In addition, in some of the studies, a comparison has been made between the quality of digital images obtained from scanners and digital cameras [20].…”

Section: Introductionmentioning

confidence: 99%

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“Evaluation of a Very Low-Cost and Simple Teleradiology Technique”

2015

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This paper describes and analyzes a proposed solution of fundamental limitative factor of teleradiology to overcome the teleradiology usages problems in underdeveloped and developing countries. The goal is to achieve a very simple and cost-efficient way to take advantage of teleradiology in anywhere even in remote and rural areas. To meet the goal of this study, the following methodology which is consists of two main procedures was done: (1) Using a digital camera in order to provide a digital image from radiographs. (2) Using an image compression tool in order to compress digital images. The results showed that there is no significant difference between digital images (non-compress and compress images) and radiographic films. Also, there was a logic relationship between the diagnostic quality and diagnostic accuracy. Since the maximum percent of diagnostic accuracy can be seen among "Good" quality images and the minimum to was related "Poor". The results of our study indicate that a digital camera could be utilized to capture digital images from radiographic films of chest x-ray. To reduce the size of digital images, a lossy compression technique could be applied at compression percent of 50 or less without any significant differences. The compressed images can be sent easily by email to other places for consultation and also they can be stored with a smaller size.

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A deep learning‐basedx‐rayimaging diagnosis system for classification of tuberculosis,COVID‐19, and pneumonia traits using evolutionary algorithm

Ali,

Khan,

Hamza

et al. 2023

Int J Imaging Syst Tech

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To aid in detection of tuberculosis, researchers have concentrated on developing computer‐aided diagnostic technologies based on x‐ray imaging. Since it generates noninvasive standard‐of‐care data, a chest x‐ray image is one of the most often used diagnostic imaging modalities in computer‐aided solutions. Due to their significant interclass similarities and low intra‐class variation abnormalities, chest x‐ray pictures continue to pose difficulty for proper diagnosis. In this paper, a novel automated framework is proposed for the classification of tuberculosis, COVID‐19, and pneumonia from chest x‐ray images using deep learning and improved optimization technique. Two pre‐trained convolutional neural network models such as EfficientB0 and ResNet50 have been utilized and fine‐tuned based on the additional layers. Both models are trained with fixed hyperparameters on the selected datasets and obtained newly trained models. A novel feature selection technique has been proposed that selects the best features. In the novel version, distance and update position formulation has been modified. The selected features are further fused using a novel technique that is based on the serial and standard deviation threshold function. The experimental process of the proposed framework is conducted on three datasets and obtained an accuracy of 98.2%, 99.0%, and 98.7%, respectively. In addition, a detailed Wilcoxon signed‐rank analysis is conducted and shows the proposed method significance performance. Based on the results, it is concluded that the proposed method accuracy is improved after the fusion process. In addition, the comparison with recent techniques shows the proposed method as more significant in terms of accuracy and precision rate.

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Diagnostic accuracy of chest X-rays acquired using a digital camera for low-cost teleradiology

Cited by 47 publications

References 27 publications

Paediatric radiology seen from Africa. Part I: providing diagnostic imaging to a young population

Paediatric radiology seen from Africa. Part I: providing diagnostic imaging to a young population

“Evaluation of a Very Low-Cost and Simple Teleradiology Technique”

A deep learning‐basedx‐rayimaging diagnosis system for classification of tuberculosis,COVID‐19, and pneumonia traits using evolutionary algorithm

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