The discipline of radiology and diagnostic imaging has evolved greatly in recent years. We
have observed an exponential increase in the number of exams performed …

With a widespread use of digital imaging data in hospitals, the size of medical image
repositories is increasing rapidly. This causes difficulty in managing and querying these …

Content-based image retrieval (CBIR) systems are designed to retrieve images that are
relevant, based on detailed analysis of latent image characteristics, thus eliminating the …

A disciplina de radiologia e diagnóstico por imagem evoluiu sobremaneira nos últimos
anos. Temos observado o aumento exponencial do número de exames realizados, a …

Brain tumors are one of the most threatening causes of death worldwide. Neuroradiologists
widely use Magnetic Resonance Imaging as a golden standard non-invasive imaging …

Content-based medical image retrieval (CBMIR) is a powerful resource to improve
differential computer-aided diagnosis. The major problem with CBMIR applications is the …

Content-based image retrieval (CBIR) is a recent method used to retrieve different types of
images from repositories. The traditional content-based medical image retrieval (CBMIR) …

Due to the difficulty to diagnose lung cancer, it is important to integrate content-based image
retrieval methods with the pulmonary nodule classification process, since they are capable …

The advances in biomedical imaging equipment have produced a massive amount of
medical images that are generated by the different modalities. Consequently, a huge volume …

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 …