Relevant bibliographies by topics / Burn Depth Classification

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Burn Depth Classification'

Author: Grafiati
Published: 22 July 2021
Last updated: 15 February 2022

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Journal articles on the topic "Burn Depth Classification"

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Khan, Fakhri Alam, Ateeq Ur Rehman Butt, Muhammad Asif, Hanan Aljuaid, Awais Adnan, Sadaf Shaheen, and Inam ul Haq. "Burnt Human Skin Segmentation and Depth Classification Using Deep Convolutional Neural Network (DCNN)." Journal of Medical Imaging and Health Informatics 10, no. 10 (October 1, 2020): 2421–29. http://dx.doi.org/10.1166/jmihi.2020.3258.

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World Health Organization (WHO) manage health-related statistics all around the world by taking the necessary measures. What could be better for health and what may be the leading causes of deaths, all these statistics are well organized by WHO. Burn Injuries are mostly viewed in middle and low-income countries due to lack of resources, the result may come in the form of deaths by serious injuries caused by burning. Due to the non-accessibility of specialists and burn surgeons, simple and basic health care units situated at tribble areas as well as in small cities are facing the problem to diagnose the burn depths accurately. The primary goals and objectives of this research task are to segment the burnt region of skin from the normal skin and to diagnose the burn depths as per the level of burn. The dataset contains the 600 images of burnt patients and has been taken in a real-time environment from the Allied Burn and Reconstructive Surgery Unit (ABRSU) Faisalabad, Pakistan. Burnt human skin segmentation was carried by the use of Otsu's method and the image feature vector was obtained by using statistical calculations such as mean and median. A classifier Deep Convolutional Neural Network based on deep learning was used to classify the burnt human skin as per the level of burn into different depths. Almost 60 percent of images have been taken to train the classifier and the rest of the 40 percent burnt skin images were used to estimate the average accuracy of the classifier. The average accuracy of the DCNN classifier was noted as 83.4 percent and these are the best results yet. By the obtained results of this research task, young physicians and practitioners may be able to diagnose the burn depths and start the proper medication.
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Zhang, Bob, and Jianhang Zhou. "Multi-feature representation for burn depth classification via burn images." Artificial Intelligence in Medicine 118 (August 2021): 102128. http://dx.doi.org/10.1016/j.artmed.2021.102128.

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Laily, Hanifah Nur, and Elsa Naviati. "Mother’s Experience Provide Burn First Aid to Younger Children." Media Keperawatan Indonesia 2, no. 3 (October 4, 2019): 90. http://dx.doi.org/10.26714/mki.2.3.2019.90-96.

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The incident of burns in children aged 1-4 years is risk get disabled and death. This is caused the children still do not understand about the danger and handling it. The role of a mother is important to give first aid to reduce the severity. First aid for burns that are still often given use such as toothepaste, saliva, coffe, soy sauce and margarine. The purpose of this study to describe the experience of mothers provide first aid in burns of children aged 1-4 years. This study was use qualitative phenomenologycal method. The sampel of this study was a mother have children aged 1-4 years who had suffered burn injury in periode of less than 9 mounth determined by the purposive sampling method. Collecting data was conducted by a in-depth interviews to 7 respondens. After 7 inteviews, found six main themes were identified: (1) first aid, (2) burns, (3) burns reaction, (4) psychological impact, (5) mother's perception of burns, (6) actions to reduce injury. Classification of burns found are mild to moderate burns. First aid for burns done by mothers using aloe vera, water, cooking oil, toothpaste, and tender care (oriflamme). The mother’s reaction to knowing that her child had burns was panic, worry, shoock, and pain. First aid for child burns given by the mother using aloe vera, water, cooking oil, toothpaste, and tender care (oriflamme).
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Huang, Samantha, Justin Dang, Clifford C. Sheckter, Haig A. Yenikomshian, and Justin Gillenwater. "674 Machine Learning and Automation in Burn Care: A Systematic Review." Journal of Burn Care & Research 42, Supplement_1 (April 1, 2021): S193. http://dx.doi.org/10.1093/jbcr/irab032.320.

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Abstract Introduction Current methods of burn evaluation and treatment are subjective and dependent on surgeon experience, with high rates of inter-rater variability leading to inaccurate diagnoses and treatment. Machine learning (ML) and automated methods are being used to develop more objective and accurate methods for burn diagnosis and triage. Defined as a subfield of artificial intelligence that applies algorithms capable of knowledge acquisition, machine learning draws patterns from data, which it can then apply to clinically relevant tasks. This technology has the potential to improve burn management by quantitating diagnoses, improving diagnostic accuracy, and increasing access to burn care. The aim of this systematic review is to summarize the literature regarding machine learning and automated methods for burn wound evaluation and treatment. Methods A systematic review of articles available on PubMed and MEDLINE (OVID) was performed. Keywords used in the search process included burns, machine learning, deep learning, burn classification technology, and mobile applications. Reviews, case reports, and opinion papers were excluded. Data were extracted on study design, study objectives, study models, devices used to capture data, machine learning, or automated software used, expertise level and number of evaluators, and ML accuracy of burn wound evaluation. Results The search identified 592 unique titles. After screening, 35 relevant articles were identified for systematic review. Nine studies used machine learning and automated software to estimate percent total body surface area (%TBSA) burned, 4 calculated fluid requirements, 18 estimated burn depth, 5 estimated need for surgery, 6 predicted mortality, and 2 evaluated scarring in burn patients. Devices used to estimate %TBSA burned showed an accuracy comparable to or better than traditional methods. Burn depth estimation sensitivities resulted in unweighted means >81%, which increased to >83% with equal weighting applied. Mortality prediction sensitivity had an unweighted mean of 96.75%, which increased to 99.35% with equal weighting. Conclusions Machine learning and automated technology are promising tools that provide objective and accurate measures of evaluating burn wounds. Existing methods address the key steps in burn care management; however, existing data reporting on their robustness remain in the early stages. Further resources should be dedicated to leveraging this technology to improve outcomes in burn care.
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Kuan, P. N., S. Chua, E. B. Safawi, and H. H. Wang. "A Comparative Study of Segmentation Algorithms in the Classification of Human Skin Burn Depth." International Journal on Advanced Science, Engineering and Information Technology 10, no. 1 (February 21, 2020): 145. http://dx.doi.org/10.18517/ijaseit.10.1.10227.

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Collier, Zachary J., Katherine J. Choi, Ian F. Hulsebos, Christopher H. Pham, Haig A. Yenikomshian, and Justin Gillenwater. "123 A Novel Way of Thinking About Blast Injury Classification." Journal of Burn Care & Research 42, Supplement_1 (April 1, 2021): S82—S83. http://dx.doi.org/10.1093/jbcr/irab032.127.

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Abstract Introduction Blast injuries present unique challenges to civilian and military healthcare providers because of the complex and often severe nature of injuries spanning numerous anatomical regions, tissue types, and organ systems. Due to these factors, we devised a novel wound-focused classification system for implementation during triage and management of blast injuries to optimize outcomes and applied this system to patients treated at an ABA-certified burn center over 5 years. Methods A retrospective analysis of patients treated by an ABA-certified burn center for blast-related injuries from September 1, 2014 to October 31, 2019 was performed. Demographics, mechanism and distribution of injuries, interventions, and outcomes were evaluated. Injuries were classified using a wound-focused classification comprised of four zones: 1) areas closest to blast epicenter that had total or near-total tissue loss from the blast; 2) adjacent areas with thermal and chemical burns; 3) distant sites with shrapnel-related wounds; 4) injuries arising from barotrauma. Results We identified 64 patients who were mostly male (84%), averaging 38 ± 14 years old. Injury mechanisms included fireworks (19%), industrial accidents (16%), volatile fuels and drug labs (45%), and others including can, battery, lighter explosions (20%). All mechanisms had equivalent frequency of Zone 2 injuries with an average TBSA of 17 ± 18%. Drug-related blasts caused the highest TBSA (34 ± 23%) and the most full-thickness burns (33% vs average 23%). Fireworks had over five times (17% vs. 3%) more Zone 3 and three times (25% vs 8%) more Zone 4 injuries compared to the other mechanisms. Upper extremities were involved at twice the rate of other body regions (43% vs 19%). Patients presenting to our burn team over 24 hours after initial injury had infections in 50% of cases – a four-fold increase compared to non-delayed presentations (50% vs 13%). Overall, 45% required surgery (32% grafting, 3% flaps) but 100% of the drug-related blasts needed surgical intervention. Some patients (58%) required ICU admission with the highest rate (83%) in the drug-related group. Conclusions Blast injuries most often required admission for management of the Zone 2 component. Each blast mechanism resulted in distinct distributions of injury although fireworks had the greatest number of Zone 1, 3, and 4 injuries. Firework blasts were often less severe and more likely to present delayed with infectious complications. Larger blast mechanisms including drug-related lab explosions as well as industrial blasts had the highest rates of ICU admission, TBSA, full thickness depth, upper extremity involvement, and need for surgical intervention.
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Daniel, Oppelt, Korf Patrick, Adametz Julian, Groh Jannis, Vossiek Martin, Zhuravleva Kristina, and Goertz Ole. "Effects of Different Types of Burn Wounds and its Dressings on Millimeter-Wave Images." Frequenz 72, no. 3-4 (March 26, 2018): 151–58. http://dx.doi.org/10.1515/freq-2018-0012.

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Abstract Millimeter-wave imaging is a promising technology for diagnosing skin burns, that may make it easier to assess and determine the burn depth in the near future. However, up to now, it has not yet been brought to clinical use due to the lack of clinical trails on patients and a millimeter-wave-aided classification of skin burns. In this paper, in a preliminary step, ex-vivo burned porcine skin is utilized to visualize and quantify skin that has been burned in different ways, and to access its effect on millimeter-wave images. For the first time, a 24 hour study of in-vivo human skin visualizes the effect of wound dressings using a fast imaging system operating at frequencies from 70 to 80 GHz. For validation, the effective relative permittivity of the skin and the dressings are measured using a open-ended coaxial probe. An analytical model is applied to calculate the reflection coefficient which are compared to the intensity of the millimeter-wave images to validate the model.
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Navarrete, Norberto, and Nelcy Rodriguez. "Epidemiologic characteristics of death by burn injury from 2000 to 2009 in Colombia, South America: a population-based study." Burns & Trauma 4 (March 16, 2016): 1–8. http://dx.doi.org/10.1186/s41038-016-0033-0.

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Abstract Background Burns are one of the most severe traumas that an individual can suffer. The World Health Organization (WHO) affirms that injuries related to burns are a global public health problem mainly in low- and middle-income countries. The first step towards reducing any preventable injury is based on accurate information. In Colombia, the basic epidemiological characteristics of burn injuries are unknown. The objectives were establishing the causes, high-risk populations, mortality rate, and tendencies of burn deaths. Methods Observational, analytical, population-based study based on official death certificate occurred between 2000 and 2009. All codes of the International Classification of Diseases-10th Revision (ICD-10) related to burns were included. The mortality rates were standardized using the WHO world average age weights 2000–2025. To determine the tendency, an average annual percent change (AACP) was calculated. Results A total of 5448 deaths due to burns were identified; 78.4 % were men. The crude and adjusted burn mortality rate was 1.270 and 1.302 per 100,000, respectively. The AACP was −5.25 %. Electrical injury caused the greatest number of deaths (49.5 %), followed by fire and lightning injuries. A total of 1197 (22.1 %) children were under 15 years old. The causes of deaths were different among age groups. 59.4 % deaths occurred outside health institutions. Conclusions This study is a first step in identifying the main causes of death and groups with higher mortality rates. Electricity is the main cause of deaths due to burn injury. Further research is required in order to generate awareness among government and community for reducing the number of injuries and burn deaths in our country.
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Dumar, Pramod. "Burns depth index and classification of burns casualities." Burns 19, no. 3 (June 1993): 252. http://dx.doi.org/10.1016/0305-4179(93)90164-4.

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Yadav, Vibhu, Amit Mittal, Parikshit Bansal, and Sachin Kumar Singh. "Regulatory approval process for advanced dressings in India: an overview of rules." Journal of Wound Care 28, Sup8 (August 2019): S32—S42. http://dx.doi.org/10.12968/jowc.2019.28.sup8.s32.

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Objective: There is a high rate of death due to burns and wound infections in India. Innovators and manufacturers of wound and burn dressings need to keep themselves abreast of the most current rules governing medical devices. The concept of advanced dressings is emerging in India. However, local manufacturing is hindered by an absence of clear regulatory guidelines. The lack of advanced wound and burn dressings on the market critically affects patient survival rates, while imports from other countries make dressings unaffordable and beyond the reach of most patients. This article presents the details of an approval procedure for advanced dressings and provides manufacturers, innovators and investors with a better understanding of the classification rules, import, export and marketing approval processes. We also discus the reasons for high levels of imports and costs, as well as suggestions on how to address this. Method: A critical analysis was conducted of 54 research and review articles, including regulatory guidelines to control the marketing of wound and burn care dressings recommended by international regulatory agencies. Conclusion: India is highly dependent on imports of advanced dressings. Due to lack of clear, quality regulatory guidelines, innovators and manufacturers are facing issues while showcasing their product in the Indian market. Thus development of clear quality regulatory guidelines is crucial. Therefore, this article may guide and encourage manufacturers to develop advanced dressings in India
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Dissertations / Theses on the topic "Burn Depth Classification"

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(11154033), Daniela Chanci Arrubla. "AUTOMATIC ASSESSMENT OF BURN INJURIES USING ARTIFICIAL INTELLIGENCE." Thesis, 2021.

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Accurate assessment of burn injuries is critical for the correct management of such wounds. Depending on the total body surface area affected by the burn, and the severity of the injury, the optimal treatment and the surgical requirements are selected. However, such assessment is considered a clinical challenge. In this thesis, to address this challenge, an automatic framework to segment the burn using RGB images, and classify the injury based on the severity using ultrasound images is proposed and implemented. With the use this framework, the conventional assessment approach, which relies exclusively on a physical and visual examination of the injury performed by medical practitioners, could be complemented and supported, yielding accurate results. The ultrasound data enables the assessment of internal structures of the body, which can provide complementary and useful information. It is a noninvasive imaging modality that provides access to internal body structures that are not visible during the typical physical examination of the burn. The semantic segmentation module of the proposed approach was evaluated through one experiment. Similarly, the classification module was evaluated through two experiments. The second experiment assessed the effects of incorporating texture features as extra features for the classification task. Experimental results and evaluation metrics demonstrated the satisfactory results obtained with the proposed framework for the segmentation and classification problem. Therefore, this work acts as a first step towards the creation of a Computer-Aided Diagnosis and Detection system for burn injury assessment.

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Books on the topic "Burn Depth Classification"

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Klasen, Henk J. History of burns. Rotterdam: Erasmus Pub., 2004.

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Book chapters on the topic "Burn Depth Classification"

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Moehrle, Neal, and Jessica Lange Osterman. "Pediatric Burns." In Pediatric Emergencies, 286–94. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190073879.003.0025.

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Burns can be classified into several categories, including thermal, electrical, and chemical injuries, each with its own unique clinical implications. Thermal injuries account for more than 120,000 pediatric emergency department visits every year and are the fourth leading cause of death among children in the United States. Among all burn-related injuries in adults and pediatrics, approximately two-thirds are related to scald injuries, 43% of which occur in children younger than 5 years of age. Emergency providers must be equipped to manage patients with burns of all severities, from those with impending respiratory collapse to those requiring only local wound care. This chapter discusses the classification of thermal burns, estimation of body surface area involved, initial emergency department management, and electrical burns.
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Conference papers on the topic "Burn Depth Classification"

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Acha Pinero, Begona, Carmen Serrano, and Jose I. Acha. "Segmentation of burn images using the L*u*v* space and classification of their depths by color and texture imformation." In Medical Imaging 2002, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2002. http://dx.doi.org/10.1117/12.467117.

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