Hybrid medical (X-Ray) image indexing and retrieval system.
What is it about?
We propose, in this work, a hybrid approach based on a pairing of semantic and visual attributes of images. We used two complementary methods: The first method is based on semantic attributes. In this method the indexing as well as the image search are based on specific keywords. The 2nd method is based on low level attributes namely: color, shape and texture. In this case the images are represented by vectors characterizing the digital content of the image (color, texture and shape). An appropriate combination of these two subsystems gives rise to a global system called: multimodal (hybrid) system. The results obtained are very encouraging, and prove the effectiveness of our approach.
Why is it important?
Multimodal learning system dedicated to public health practitioners. which can help radiologist experts in clinical decision-making during the diagnosis and treatment of certain diseases (facilitate the analysis and interpretation of radiological examinations).