An Efficient Content-Based Image Retrieval System for the Diagnosis of Lung Diseases.
The main problem in content-based image retrieval (CBIR) systems is the semantic gap which needs to be reduced for efficient retrieval. The common imaging signs (CISs) which appear in the patient's lung CT scan play a significant role in the identification of cancerous lung nodules and many other lu...
| Published in: | Journal of Digital Imaging Vol. 33; no. 4; pp. 971 - 988 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Aug2020
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| Online Access: | View this record in EBSCOhost |