A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images [PDF]
Sensors, 2022 Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death.
Amith Khandakar +2 more
exaly +5 more sources
Plasma Thermogram Parameters Differentiate Status and Overall Survival of Melanoma Patients [PDF]
Current Oncology, 2023 Melanoma is the fifth most common cancer in the United States and the deadliest of all skin cancers. Even with recent advancements in treatment, there is still a 13% two-year recurrence rate, with approximately 30% of recurrences being distant metastases.
Guy Brock +2 more
exaly +4 more sources
A hybrid GAN-based deep learning framework for thermogram-based breast cancer detection [PDF]
Scientific ReportsBreast cancer remains one of the most prevalent and life-threatening diseases among women worldwide, necessitating early and accurate detection methods. Traditional diagnostic approaches often face limitations in sensitivity and specificity, highlighting
Preethi Veerlapalli, Sushama Rani Dutta
doaj +3 more sources
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques [PDF]
Sensors, 2022 Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a higher risk of foot ulceration ...
Amith Khandakar +12 more
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Preliminary study on objective evaluation algorithm of human infrared thermogram seriality and its clinical application in population with metabolic syndrome [PDF]
BMJ Health & Care InformaticsObjectives To develop an objective evaluation algorithm for assessing the seriality of infrared thermograms for the auxiliary diagnosis of diseases, and to internally validate the algorithm using metabolic syndrome (MS) as a case example.Methods A total ...
Yu Chen +13 more
doaj +2 more sources
Plantar Thermogram Database for the Study of Diabetic Foot Complications
IEEE Access, 2019 The advances in infrared thermography during recent years have opened new possibilities for its use in medical diagnosis. The detection of complications related to diabetic foot is one of the many uses of this technology. This paper presents a new public
Hayde Peregrina-Barreto +1 more
exaly +3 more sources
Integrating thermal liquid biopsy, clinical data, and mass spectrometry for early diagnosis and biomarker discovery in colorectal cancer [PDF]
iScienceSummary: Early detection of colorectal cancer is essential to improving survival, where yet current diagnostic tools show limited performance. This study aimed to enhance diagnostic accuracy by integrating clinical variables with thermogram profiles ...
Sonia Hermoso-Durán +15 more
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A comprehensive method of a defect map forming based on thermal response patterns
Trudy Odesskogo Politehničeskogo Universiteta, 2023 The study considers contemporary approaches used in the analysis of infrared thermography results of a test object aimed at identifying structural features for defect map formation.
Олександр Сергійович Левинський +1 more
doaj +5 more sources
Application possibilities of thermovision technique in diagnostics of aerial systems of radio transmitters [PDF]
Transport, 2007 The paper deals with possibilities of use of thermovision technique in diagnostics of aerial systems of radio transmitters. Graphically presented: heating characteristic of the junction at the transmitter power of 60 % (slack and polluted junction ...
Milan Šimko +2 more
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Вестник Дагестанского государственного технического университета: Технические науки, 2022 Objective. The purpose of the study is to improve the technical procedure and increase the accuracy of determining the key thermophysical characteristics of building materials and products in a stationary thermal regime, as well as expanding the ...
D. F. Karpov, M. V. Pavlov, A. G. Gudkov
doaj +1 more source