@inproceedings{5eef8b8f5bc243ba83b57f489adf2bd5,
title = "Hierarchical and binary spatial descriptors for lung nodule image retrieval",
abstract = "With the increasing amount of image data available for cancer staging and diagnosis, it is clear that content-based image retrieval techniques are becoming more important to assist physicians in making diagnoses and tracking disease. Domain-specific feature descriptors have been previously shown to be effective in the retrieval of lung tumors. This work proposes a method to improve the rotation invariance of the hierarchical spatial descriptor, as well as presents a new binary descriptor for the retrieval of lung nodule images. The descriptors were evaluated on the ELCAP public access database, exhibiting good performance overall.",
author = "Gillian Ng and Yang Song and Weidong Cai and Yun Zhou and Sidong Liu and {Dagan Feng}, David",
year = "2014",
month = nov,
day = "2",
doi = "10.1109/EMBC.2014.6945108",
language = "English",
series = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6463--6466",
booktitle = "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014",
note = "null ; Conference date: 26-08-2014 Through 30-08-2014",
}