Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments
نویسندگان
چکیده
منابع مشابه
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks
This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, automatically localizing the knee joints; next, classifying the localized knee joint images. We introduce a new approach to automatically detect the knee joints using a fully convolutional neural network (FCN). We train ...
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We describe a method to detect osteoarthritis (OA) from knee X-ray images. The detection is based on the thickness of cartilage in knee bone, which correspond to possibility of osteoarthritis. Using our approach better diagnosis treatment can be applied to the patient since a computed automated measurements leads to accurate values so the image segmentation and mathematical morphological operat...
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implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...
15 صفحه اولAutomatic cephalometric landmark detection using Zernike moments and template matching
Most methodologies not only differ in the kind of techniques used to pinpoint the location of landmarks but in many other ways like: the size of training and test dataset, quality and variations covered in the dataset based on age, race, gender, etc., different studies use distinctive landmarks and different methodologies to report the results. In this Chapter, we propose a combination of local...
متن کاملEarly detection of radiographic knee osteoarthritis using computer-aided analysis.
OBJECTIVE To determine whether computer-based analysis can detect features predictive of osteoarthritis (OA) development in radiographically normal knees. METHOD A systematic computer-aided image analysis method weighted neighbor distances using a compound hierarchy of algorithms representing morphology (WND-CHARM) was used to analyze pairs of weight-bearing knee X-rays. Initial X-rays were a...
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ژورنال
عنوان ژورنال: Frontiers in Robotics and AI
سال: 2020
ISSN: 2296-9144
DOI: 10.3389/frobt.2020.591827