Early diagnosis of Lung Cancer with Probability of Malignancy Calculation and Automatic Segmentation of Lung CT scan Images
J. Samuel Manoharan, Sathish
Abstract
Computer aided detection system was developed to identify the pulmonary nodules to diagnose the cancer cells. Main aim of this research enables an automated image analysis and malignancy calculation through data and CPU infrastructure. Our proposed algorithm has improvement filter to enhance the imported images and for nodule selection and neural classifier for false reduction. The proposed model is experimented in both internal and external nodules and the obtained results are shown as response characteristics curves.
Topics & Concepts
Lung cancerMalignancySegmentationArtificial intelligenceComputer sciencePattern recognition (psychology)RadiologyComputer-aided diagnosisNodule (geology)Classifier (UML)Image segmentationComputed tomographyLungMedicinePathologyInternal medicineBiologyPaleontologyLung Cancer Diagnosis and Treatment