Diagnosis of Osteoporosis from X-ray Images using Automated Techniques

Title

Diagnosis of Osteoporosis from X-ray Images using Automated Techniques

Creator

Dodamani P.S.; Danti A.

Description

Osteoporosis is Bone Disease most commonly seen in aged people due to various food habits and life style habits. The bone becomes so brittle and weak which may break just from a fall. So, it is required to attend this Issue as there are various challenges faced by medical domain to identify and treat Osteoporosis. In this paper we focus on identifying and detecting osteoporosis using X-ray images using modified U-net Architecture using Residual Block and skip connections and done comparison study with existing models, as per state-of-art our model outcomes issues in existing model and obtain better accuracy. 2022 IEEE.

Source

2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022, pp. 497-500.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Bone mineral density; Osteoporosis; Residual Block; Skip connections.; U-net

Coverage

Dodamani P.S., Christ University, Computer Science and Engineering, Bangalore, India; Danti A., Christ University, Computer Science and Engineering, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-166549602-5

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/COM-IT-CON54601.2022.9850579

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