Content-Based Image Retrieval System for Dermal Images using Transfer Learning

Mohamed S. Elbially1, Sara Abdeldayem, Dalia Bassiouny2, Inas Yassine

  • 1Systems and Biomedical Department, Faculty of Engineering, Cairo University
  • 2Cairo University



1-Page Extended Abstract (Poster)


09:05 - 09:55 | Thu 16 Feb | Ballroom D | ThRAF

Rapid Fire Session 01: Imaging Informatics


Content-based image retrieval (CBIR) is an emerging need for facilitating decision systems in the medical contexts. In this study, we investigate a CBIR platform for dermal lesion retrieval. The feature set used in this study is extracted based on the Fined Tuned AlexNet Convolution Neural Network. Four Different similarity measures have been used to perform the retrieval task. The proposed system achieved a precision of 98% and 97% using correlation and Euclidean similarity measures respectively.

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