Content Based Image Retrieval for Computed Tomography Images of Lungs

2014 ◽  
Vol 4 (5) ◽  
pp. 697-700
Author(s):  
Jinsa Kuruvilla ◽  
K. Gunavathi
2007 ◽  
Author(s):  
Michael Lam ◽  
Tim Disney ◽  
Mailan Pham ◽  
Daniela Raicu ◽  
Jacob Furst ◽  
...  

Author(s):  
Alberto Taboada-Crispi ◽  
Hichem Sahli ◽  
Denis Hernandez-Pacheco ◽  
Alexander Falcon-Ruiz

Various approaches have been taken to detect anomalies, with certain particularities in the medical image scenario, linked to other terms: content-based image retrieval, pattern recognition, classification, segmentation, outlier detection, image mining, as well as computer-assisted diagnosis, and computeraided surgery. This chapter presents, a review of anomaly detection (AD) techniques and assessment methodologies, which have been applied to medical images, emphasizing their peculiarities, limitations and future perspectives. Moreover, a contribution to the field of AD in brain computed tomography images is also given, illustrated and assessed.


2017 ◽  
Vol 5 (3) ◽  
pp. 54
Author(s):  
MOHAMMED ILIAS SHAIK ◽  
CHAUHAN DINESH ◽  
ESAPALLI SRINIVAS ◽  
PADIGE VINEETH ◽  
◽  
...  

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