Detection of Chickenpox Vesicles in Digital Images of Skin Lesions
نویسندگان
چکیده
Chickenpox is a viral disease characterized by itchy skin vesicles that can have severe complications in adults. A tool for automatic detection of these lesions in patients’ photographs is highly desirable to help the physician in the diagnosis. In this work we design a method for detection of chickenpox skin lesions in images. It is a combination of image processing techniques color transform, equalization, edge detection, circular Hough transformand statistical tests. We obtain highly satisfactory results in the detection of chickenpox vesicles, the elimination of false detections using the Kullback Leibler divergence, and in preliminary tests for discrimination between chickenpox and herpes zoster.
منابع مشابه
A New Algorithm for Skin Lesion Border Detection in Dermoscopy Images
Background: With advances in medical imaging systems, digital dermoscopy has become one of the major imaging modalities in the analysis of skin lesions. Thus, automated segmentation or border detection has a great impact on the subsequent steps of skin cancer computer-aided diagnosis using demoscopy images. Since dermoscopy images suffer from artifacts such as shading and hair, there is a need ...
متن کاملگزارش یک مورد نادر همزمانی مخملک و آبله مرغان
Introduction: Chickenpox is a contagious febrile illness with rash that is caused by varicella zoster virus. Most children up to age 15 are infected with the virus. Scarlet fever is caused by erythrogenic toxin of streptococcus group A and usually causes skin reactions such as fine red and often itchy papules on the trunk and extremities as well as skin redness, especially on the groin and fore...
متن کاملمقایسه دقت فیلمهای Primax و Insight و تصاویر دیجیتالی CMOS-APS در تشخیص پوسیدگی‌های جانبی دندانهای خلفی به صورت آزمایشگاهی
Introduction: Radiography is one of the most important diagnostic methods for evaluation of dental caries. On the other hand, the least amount of radiation along with high quality is a main gold standard. The purpose of this study was to compare the diagnostic accuracy of Primax, Insight Radiographic films, and direct digital images (Schick CMOS-APS), in detection of interproximal natural Carie...
متن کاملNon-melanoma skin cancer diagnosis with a convolutional neural network
Background: The most common types of non-melanoma skin cancer are basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). AKIEC -Actinic keratoses (Solar keratoses) and intraepithelial carcinoma (Bowen’s disease)- are common non-invasive precursors of SCC, which may progress to invasive SCC, if left untreated. Due to the importance of early detection in cancer treatment, this study aimed...
متن کاملمقایسه دو نوع رادیوگرافی پانورامیک متداول و Digital Subtraction در تشخیص ضایعات شبیه‌‌‌‌‌‌سازی شده کندیل مندیبل
Background and Aim: Digital subtraction Radiography (DSR) is a method of accurate assessing condylar head changes. several studies have been carried out in applying DSR in dentistry, however there is a few number of studies in efficacy of DSR method in assesment of condylar head changes, The aim of this study was to compare panoramic radiography and DSR detecting simulated lesions of the man...
متن کامل