Case based image retrieval and clinical analysis of tumor and cyst

Swarnambiga Ayyachamy; Ganapathy Krishnamurthi

doi:10.1117/12.2515660

15 March 2019 Case based image retrieval and clinical analysis of tumor and cyst

Swarnambiga Ayyachamy, Ganapathy Krishnamurthi

Proceedings Volume 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications; 109540Z (2019) https://doi.org/10.1117/12.2515660
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Case based reasoning (CBR) with image retrieval can be used to implement a clinical decision support system for supporting diagnosis of space occupying lesions . We present a case based image retrieval (CBIR) system to retrieve images with lesion similar to the input test image. Here we consider only glioblasoma and lung cancer lesions. The lung cancer lesions can be either nodules or cysts. A feature database has been created and the processing of a query is conducted in real time. By using bag of visual words (BOVW), histogram of features is compared with the codebook to retrieve similar images. The experiments performed at various levels retrieved relevant and similar images of lesion images with a mean average precision of 0.85. The system presented is expected aid and improve the effectiveness of diagnosis performed by radiologist.

Conference Presentation

Citation Download Citation

Swarnambiga Ayyachamy and Ganapathy Krishnamurthi "Case based image retrieval and clinical analysis of tumor and cyst", Proc. SPIE 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, 109540Z (15 March 2019); https://doi.org/10.1117/12.2515660

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available