Published January 1, 2018
| Version v1
Journal article
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A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations
- 1. Hadassah Hebrew Univ, Med Ctr, Dept Radiol, Jerusalem, Israel
- 2. Bogazici Univ, Dept Elect Engn Elect, Istanbul, Turkey
- 3. Hebrew Univ Jerusalem, Rachel & Selim Benin Sch Comp Sci & Engn, Givat Ram Campus, IL-91904 Jerusalem, Israel
Description
Purpose The goal of medical content-based image retrieval (M-CBIR) is to assist radiologists in the decision-making process by retrieving medical cases similar to a given image. One of the key interests of radiologists is lesions and their annotations, since the patient treatment depends on the lesion diagnosis. Therefore, a key feature of M-CBIR systems is the retrieval of scans with the most similar lesion annotations. To be of value, M-CBIR systems should be fully automatic to handle large case databases.
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