دانلود و نمایش مقالات مرتبط با Kidney stone::صفحه 1
بلافاصله پس از پرداخت دانلود کنید

با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد). 

نتیجه جستجو - Kidney stone

تعداد مقالات یافته شده: 1
ردیف عنوان نوع
1 myStone: A system for automatic kidney stone classification
myStone: یک سیستم طبقه بندی خودکار سنگ کلیه-2017
Article history:Received 5 April 2017Revised 14 July 2017Accepted 15 July 2017Available online 17 July 2017Keywords: Kidney stone Optical device Computer visionImage classificationKidney stone formation is a common disease and the incidence rate is constantly increasing worldwide. It has been shown that the classification of kidney stones can lead to an important reduction of the re- currence rate. The classification of kidney stones by human experts on the basis of certain visual color and texture features is one of the most employed techniques. However, the knowledge of how to analyze kidney stones is not widespread, and the experts learn only after being trained on a large number of samples of the different classes. In this paper we describe a new device specifically designed for cap- turing images of expelled kidney stones, and a method to learn and apply the experts knowledge with regard to their classification. We show that with off the shelf components, a carefully selected set of fea- tures and a state of the art classifier it is possible to automate this difficult task to a good degree. We report results on a collection of 454 kidney stones, achieving an overall accuracy of 63% for a set of eight classes covering almost all of the kidney stones taxonomy. Moreover, for more than 80% of samples the real class is the first or the second most probable class according to the system, being then the patient recommendations for the two top classes similar. This is the first attempt towards the automatic visual classification of kidney stones, and based on the current results we foresee better accuracies with the increase of the dataset size.© 2017 Elsevier Ltd. All rights reserved.
Keywords: Kidney stone | Optical device | Computer vision | Image classification
مقاله انگلیسی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 3528 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 3528 :::::::: افراد آنلاین: 69