About: Chapter 4 Infrared Thermography and Soft Computing for Diabetic Foot Assessment

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Chapter 4 Infrared Thermography and Soft Computing for Diabetic Foot Assessment
Creator	Al Amoudi, Abdullah Venkatappa, Umadevi Gururajarao, Sudha Shivaram, Joshi Yacin Sikkandar, Mohamed
Source	Elsevier; PMC
abstract	Abstract Recent advancements in digital image processing and soft computing techniques have widened the scope of computer aided diagnosis of medical conditions. Many imaging modalities like MRI, CT, PET, Ultrasound combined with soft computing techniques is already contributing to this trend. With the recent inclusion of infrared thermal imaging, the capability of computer aided diagnosis has increased and has become more safe and convenient. Research in this noncontact and noninvasive imaging technology has steadily increased over the last 50 years. Disease diagnosis based on the correlation of surface temperature distribution of skin is being studied at large and has shown promising results. This chapter will give the reader a solid understanding of the theory behind infrared thermography and the use of soft computing techniques applied to medical image analysis, particularly for diabetic foot complication assessment. The issues and challenges to be addressed in using infrared thermography for diagnostic purposes are also discussed. The reader will get a complete overview of building an intelligent diagnostic system using the two sensational topics of research in machine learning and medical imaging—infrared thermography and soft computing.
has issue date	2019-12-31(xsd:dateTime)
bibo:doi	10.1016/b978-0-12-816086-2.00004-7
has license	els-covid
sha1sum (hex)	7a778c520d149c56dc01194edf1a4e3f10f1b5a1
schema:url	https://doi.org/10.1016/b978-0-12-816086-2.00004-7
resource representing a document's title	Chapter 4 Infrared Thermography and Soft Computing for Diabetic Foot Assessment
has PubMed Central identifier	PMC7150245
schema:publication	Machine Learning in Bio-Signal Analysis and Diagnostic Imaging
resource representing a document's body	covid:7a778c520d149c56dc01194edf1a4e3f10f1b5a1#body_text
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