X-Tract: Framework for Flexible Extraction of Features in Chest Radiographs for Disease Diagnosis Using Machine Learning
- Title
- X-Tract: Framework for Flexible Extraction of Features in Chest Radiographs for Disease Diagnosis Using Machine Learning
- Creator
- Yugandhar C.; Hiremath M.
- Description
- Various types of medical images are used as diagnostic tools for identifying pathologies in human bodies, and in this research, chest X-ray images are used as diagnostic tools. Several pre-built models are created by the participants of ImageNet competitions for non-medical images, and these models are also being used in medical image classification; for example, Khan et al. (Comput Methods Prog Biomed 196:105581, 2020) developed a model called Coronet and Narayan Das et al. (IRBM 1:16, 2020) proposed a deep transfer learning-based model. Instead of using the pre-built models, a different approach was taken to address this problem. A framework was created to extract the frequency and spatial domain-based features, along with the raw statistics of the images. The model proposed in this article using the SVM algorithm has reached accuracy levels ranging from 91% to 97% and sensitivity of 92% to 96% on various samples of test data of over 400 images. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Smart Innovation, Systems and Technologies, Vol-351, pp. 335-349.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Diagnostic methods; Feature engineering; Image classification; Pre-built models; Statistical techniques; Support vector machines; Textural descriptors; X-rays
- Coverage
- Yugandhar C., Department of Computer Science, Christ University, Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India; Hiremath M., Department of Computer Science, Christ University, Hosur Rd, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India
- Rights
- Restricted Access
- Relation
- ISSN: 21903018; ISBN: 978-981992467-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Yugandhar C.; Hiremath M., “X-Tract: Framework for Flexible Extraction of Features in Chest Radiographs for Disease Diagnosis Using Machine Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/19896.