ABNORMAL X-RAY DETECTION USING DENSE CONVOLUTIONAL NEURAL NETWORK

Babin Karki
2019
BSc.CSIT
Semester 7
Downloads 3

Probability is the process of finding the chance of occurrence of any event. This project focuses on finding the probability of abnormality of an Musculoskeletal parts. MURA, is the dataset that has been used for this system to detect abnormalities. There are millions of people who suffer from different musculoskeletal problems like fracture, swelling, etc. If this system is built, people don’t need to wait in a long queue for long checkup. This system helps to solve the problem of detecting abnormalities within 2 minutes. Convolutional Neural Network has been used to find the abnormal detection in a feed forward fashion. The dataset as well as the user input are preprocessed where the image is converted into standard format. This system may not provide exact result, as there might be some faults while taking an image. it helps to detect abnormalities with the use of an XRay image. Finally, accuracy test was carried out and the accuracy is 83.71%.

Convolutional Neural Network
X-Ray abnormality detection
Probability of X-Ray
Dense CNN
Musculoskeletal bones

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