Dr Jatindra Kumar Dash, Associate Professor, Computer Science and Engineering, has recently published a paper, “Content-based image retrieval system for HRCT lung images: Assisting radiologists in self-learning and diagnosis of Interstitial Lung Diseases” in the reputed Springer Journal- Multimedia Tools and Applications. The research has been carried out in collaboration with Prof. Sudipta Mukhopadhyay, IIT Kharagpur and Professor & Head, Department of RADIO DIAGNOSIS & IMAGING, Post Graduate Institute of Medical Education and Research, Chandigarh.

Content-based Image Retrieval (CBIR) is a technique that can exploit the wealth of the data stored in the 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 the sign of Interstitial Lung Diseases (ILDs) is built, and the system can be used as a self-learning tool by budding radiologists. The system is built by addressing several challenges using advanced machine learning techniques. The objective of this work is to develop a CBIR system for ILDs that is reliable and needs minimal human intervention for ling disease diagnosis.

The system developed will act as a helping tool for radiologist by providing a second opinion for the diagnosis of a diverse group of lung diseases called Interstitial Lung Disease. It will help the budding radiologist for self-learning. When used in daily medical practice, the system may reduce the workload of radiologists in countries, having a low number of physicians per inhabitants.

Dr Dash is associated with SRM University-AP for almost three years. His research interests include Content-Based Image Retrieval, Medical Image Analysis and Texture Analysis. He has currently employed his time into the design and development of a Computer-Aided Diagnosis System for Lung Cancer Screening.

Read More: https://link.springer.com/article/10.1007/s11042-020-10173-4