This paper presents a proposed method for medical image retrieval in order to search in a
database for an image that is similar to a query image. The proposed Medical Image …

Due to the advancement in digital recording techniques, a large amount of data
(images/video) is created in medical centers. Penetrating this indistinguishable data is a …

Abstract Systems for retrieving and managing content-based medical images are becoming
more important, especially as medical imaging technology advances and the medical image …

Significant interest in Content-Based Image Retrieval (CBIR) has been identified over the
last two decades, which utilizes image and video perception to find adequate images. The …

The paper proposes a content based histopathological image retrieval scheme based on
multi-scale, multichannel decoded local ternary pattern features and VLAD coding. The …

Emerging medical imaging applications in healthcare, the number and volume of medical
images is growing dramatically. Information needs of users in such circumstances, either for …

Content-based image retrieval (CBIR) became an energetic research field in engineering
and medical field. In this work, local directional gradient based feature learning approach for …

In this paper, we propose a novel approach of feature learning through image reconstruction
for content-based medical image retrieval. We propose an image reconstruction network to …

The advancement in medical imaging has resulted in a rapid and large increase in medical
images inside repositories. These medical images contain very important information that …

Local feature descriptor plays a significant role in texture classification. However, in the
traditional local binary pattern method, image pixels are converted into a binary pattern …