Content Number: 02
Author Name: Muhammad Sani
Author I’d: SBPWNC – A02
Educational Institution: University of Lakki Marwat, Pakistan
Content Title: Classification of Osteoporosis Diseases Using Deep Learning
Introduction
- Osteoporosis is the skeletal disorder that is caused by the low bone mineral density and calcium as a result of it the bone become porous and fracture occurs
- Osteoporosis is the prevalent diseases that are most common in the postmenopausal women as compared to the man. The ratio of the osteoporosis in the postmenopausal women is 1:3 (one in three women have osteoporosis), and in men it is 1:5 (one in five man have osteoporosis).
- It is asymptomatic disease until fractures occur.
- The osteoporosis effects the whole world. But the highest prevalence of osteoporosis was in Asia and among women, the highest prevalence of osteoporosis was in Africa.
- It is estimated that by 2030, there will be will increase to 71 million low bone density.
- In the US currently more than 10 million peoples are effected from the osteoporosis.
- It has been reported that around six core people in India have osteoporosis and 80% of them are women.
- The osteoporosis diseases is more commonly in the India as compare to the stroke, heart diseases and breast cancer.
- According to international osteoporosis foundation in every 3 seconds osteoporotic fracture occur. As a result of it 8.9 million fractures occur annually.
- There are mainly two types of osteoporosis diseases
- Primary osteoporosis diseases are the most common type of osteoporosis and it have two types
- Senile osteoporosis:- This osteoporosis diseases occur in the men and women both. It affects the peoples after the age of 70 years.
- Postmenopausal osteoporosis:- This type of osteoporosis diseases mainly effect the postmenopausal women.
Problem Statement
- Current system used for the osteoporosis detection and classification are not suitable for the real time identification.
- Other models used for osteoporosis diseases detection and classification show the several challenges such as less accuracy and over fitting.
- To Develop a light weight deep learning model that will classify the osteoporosis diseases and providing high accurate result in real-life scenario.
Objective
- To Develop a light weight deep learning model that will classify the osteoporosis diseases and providing high accurate result in real-life scenario.
Aim
- The aims of this project is to develop the an efficient deep learning-based model for the accurate classification of osteoporosis disease using X-ray image of the Lumbar spine.
Methodology
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He is writing very best. His writing is also very clear and concise. I will give it 95 marks out of 100
Very good project and concise writing and clear writing
This is very concise writing and clear writing.
This disease is increase day by day. So in the future we wants the website which classify this disease.I will read this writing and it is best.
That’s interesting.You have done your work with great honestly and hard work.
It provides information about osteoporosis.
Good job👏
Very informative article on osteoporosis