分子バイオマーカーと診断のジャーナル

Content-Based Image Retrieval (CBIR) Based Computer-Aided Diagnosis (CAD) in Evaluation of Lung Nodules: A New Tool for Self-Learning and To Assist Radiologists in Diagnosing Lung Cancer

Abstract

Mandeep Garg, Nidhi Prabhakar, Sudipta Mukhopadhyay and Niranjan Khandelwal

Lung cancer is the leading cause of cancer related deaths in general population. Early diagnosis of malignant pulmonary nodule, can improve 5-year survival rate of lung cancer by upto 80%. There is increase in incidentally detected pulmonary nodules with the increased usage of diagnostic imaging modalities especially computed tomography (CT) of chest. Most often, physicians and trainee doctors have to depend on the experienced radiologists to confidently label these nodules as benign or malignant, thereby raising a need for some method, which could help them in self-learning and also could assist radiologists in ruling out malignancy with good certainty and confidence.