نتایج جستجو برای: classification lesion
تعداد نتایج: 583085 فیلتر نتایج به سال:
Skin Ulcers are likely to be caused by the increase in UV radiation which occurs as a result of ozone depletion with the culture of the sun. Major other causes of skin cancer are burns, scars, sores, radiation or certain chemicals like arsenic. Moreover, tattooing is considered as a fashion in the younger generations, unaware of the fact that it can cause a skin cancer. However, if detected ear...
introduction breast cancer is the second cause of mortality among women. early detection of it can enhance the chance of survival. screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. computer-aided diagnosis can help physicians make a more accurate diagnosis. materials and methods regarding the importance of separating normal and abnorm...
CCAM is a rare conolition in the neonatal Period. Two babies were admitted to Mofid hospital with cyanosis and respiratory distress. Pneumectomy was done for both of them for space occupaying lesion. Pathology examination of first case showed area of cuboidal epithelium lined tubes and spaces resembling fetal bronchioles, which are torn in folds. In second case, pathologic examination revealed...
Digital dermoscopy aids dermatologists in monitoring potentially cancerous skin lesions. Melanoma is the 5th common form of skin cancer that is rare but the most dangerous. Melanoma is curable if it is detected at an early stage. Automated segmentation of cancerous lesion from normal skin is the most critical yet tricky part in computerized lesion detection and classification. The effectiveness...
By laser induced breakdown spectroscopy (LIBS) analysis of epidermal lesion and dermis tissue pellets of hairless mouse, it is shown that Ca intensity in the epidermal lesion is higher than that in dermis, whereas Na and K intensities have an opposite tendency. It is demonstrated that epidermal lesion and normal dermis can be differentiated with high selectivity either by univariate or multivar...
Pattern recognition in macroscopic and dermoscopic images is a challenging task in skin lesion diagnosis. The search for better performing classification has been a relevant issue for pattern recognition in images. Hence, this work was particularly focused on skin lesion pattern recognition, especially in macroscopic and dermoscopic images. For the pattern recognition in macroscopic images, a c...
In this paper we present an accelerated system for diagnosing skin lesions based on digitized dermatoscopic color images. This system is composed mainly of three levels : lesion detection, lesion description features selection and decision. The lesion detection level consists in the preprocessing of the lesion image in order to remove the undesired objects from the original image. Then, the ext...
BACKGROUND Percutaneous coronary intervention (PCI) of coronary bifurcation lesions remains a subject of debate. Many studies have been published in this setting. They are often small scale and display methodological flaws and other shortcomings such as inaccurate designation of lesions, heterogeneity, and inadequate description of techniques implemented. METHODS The aim is to propose a conse...
This paper presents a study on classification of breast lesions using artificial neural network. Thirteen morphological features have been extracted from breast lesion cells and used as the neural network inputs for the classification. Multilayered Perceptron Network trained using recursive prediction error algorithm was used to perform the classification task. Unlike the previous studies that ...
A software architecture is presented that is able to perform classification of focal lesions due to the multiple sclerosis disease in MR images of the brain. The methodology proceeds through four main steps: tissue segmentation, re-clustering and tissue classification, lesion localization and lesion classification. Images are first segmented using the FCM algorithm; then the images of each clus...
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