Automatic knee Kellgren Lawrence grading with artificial intelligence
نویسندگان
چکیده
منابع مشابه
Reproducibility assessment of different descriptions of the Kellgren and Lawrence classification for osteoarthritis of the knee☆
OBJECTIVE To assess the inter- and intraobserver reproducibility of the original version and different descriptions of the Kellgren and Lawrence classification used in epidemiological studies for osteoarthritis of the knee. METHODS The study included 72 patients with osteoarthritis of the knee. Three medical members of the Brazilian Society of Knee Surgery were invited to evaluate the images....
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Introduction: Advances in image quality from modern Dual Energy X-ray absorptiometry (DXA) scanners now allow near radiograph-like quality images at a low radiation dose. This opens potential new applications for the use of DXA scanners to study other musculoskeletal conditions, such as osteoarthritis which is often investigated by visual assessment of radiographs. Together, osteoporosis and os...
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This project deals with the ripeness of oil palm fruit. The current procedure in the palm oil mills is grading the oil palm fruit manually using human graders. This method is subjective and inconsistence because each graders has its own techniques and may vary from each other’s. Hence, it affects the quality and quantity of the oil that can be extracted. In this project, a new model of automate...
متن کاملRadiographic osteoarthritis of the knee classified by the Ahlbäck and Kellgren & Lawrence systems for the tibiofemoral joint in people aged 35-54 years with chronic knee pain.
OBJECTIVES To determine the prevalence of tibiofemoral radiographic knee osteoarthritis (OA) in people aged 35-54 years associated with chronic (> 3 months) knee pain using two different radiographic grading systems. METHODS Population based postal survey in a random sample of inhabitants in a district in southern Sweden followed by clinical examination and plain posteroanterior, weight beari...
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ژورنال
عنوان ژورنال: Osteoarthritis and Cartilage
سال: 2018
ISSN: 1063-4584
DOI: 10.1016/j.joca.2018.02.840