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Can I read Content-based image retrieval system for HRCT lung images: assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases on EtoBox?

Content-based image retrieval system for HRCT lung images: assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases by Jatindra Kumar Dash; Sudipta Mukhopadhyay; Rahul Dash Gupta; Niranjan Khandelwal is a Computer Science article available to read on EtoBox.

What is Content-based image retrieval system for HRCT lung images: assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases about?

Content-based Image Retrieval (CBIR) is a technique that can exploit the wealth of the data stored in a repository and help radiologists in decision making by providing references to the image in hand. A CBIR system for High-Resolution Computed Tomography (HRCT) lung images depicting signs of Interstitial Lung Diseases (ILDs) can be built and used as a self-learning tool for budding radiologists. The study of a few lung image retrieval systems available in the literature identifies some important issues that need to be taken care of. In most of the works, the creation of the reference database involves painstaking manual activity, which is time-consuming and needs skilled labor. A lot of human interventions are required, particularly for the proper delineation of the region of interest (ROI) that represents pathology in each of the images in a database. In most cases, the size of the ROIs representing different disease findings are fixed (i.e., either a fixed size square or circle), which at times may not be a proper representation of the disease pattern and as a consequence, it might limit the system's performance. Until date, a few learning-based approaches have been developed fo

Who reads Content-based image retrieval system for HRCT lung images: assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Jatindra Kumar Dash; Sudipta Mukhopadhyay; Rahul Dash Gupta; Niranjan Khandelwal
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Computer Science (Physical Sciences)

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