Name
Title | ||
|---|---|---|
A DICOM viewer with flexible image retrieval to support diagnosis and treatment of scoliosis |
Abstract | ||
|---|---|---|
This paper presents a medical image viewer implemented in Java whose innovative features are: on the one hand, its capability for visual edition and storage of measurements involved in diagnosis and treatment of scoliosis (a medical condition in which the patient's spine is curved) and performed on digital X-rays; on the other hand, its capability for retrieving images in a flexible way from medical image databases on the basis of those measurements, which are the standard method for diagnosing this pathology. Hence, the viewer is intended to be a useful tool for physicians in diagnosis and treatment of scoliosis. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.eswa.2012.02.012 | Expert Syst. Appl. |
Keywords | Field | DocType |
innovative feature,retrieving image,visual edition,digital x-ray,useful tool,medical image viewer,dicom viewer,medical image databases,medical condition,standard method,flexible image retrieval | Computer vision,DICOM,Scoliosis,Computer science,Image retrieval,Artificial intelligence,Fuzzy databases | Journal |
Volume | Issue | ISSN |
39 | 10 | 0957-4174 |
Citations | PageRank | References |
5 | 0.68 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Miguel Medina | 1 | 272 | 24.24 |
| Sergio Jaime-Castillo | 2 | 20 | 4.47 |
| Esther Jiménez | 3 | 5 | 1.02 |