José Raniery Ferreira Junior

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
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 of retrieving similar cases from large image databases that were previously diagnosed. The goal of this paper is to evaluate an integrated image feature vector, composed of(More)
BACKGROUND Cancer is a disease characterized as an uncontrolled growth of abnormal cells that invades neighboring tissues and destroys them. Lung cancer is the primary cause of cancer-related deaths in the world, and it diagnosis is a complex task for specialists and it presents some big challenges as medical image interpretation process, pulmonary nodule(More)
The main purpose of this work was develop an algorithm to aid the physician in identify and classify lung nodules. To help the physician in identify the nodule was developed a segmentation algorithm based on 3D Region Growing. The 3D Texture Analysis algorithm was developed as image retrieval method to help the physician in classify the nodules. The(More)
  • 1