Benign Malignant Classification of Lung Nodules using Machine Learning

Benign Malignant Classification of Lung Nodules using Machine Learning

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Lung disease has been the deadliest among every single kind of tumor. Early discovery of tumor is needed to increment the survival rate for patients from disease. Our motivation is for building up an effective Computer Aided Diagnosis (CAD) system for lung nodules (knobs) discovery from pre notion district of lung and group the knobs into two categories Malignant (carcinogenic) or Benign (non-destructive). Computer-aided detection supported location frameworks can help radiologists to distinguish aspiratory knobs at a beginning time. In this research, a novel CAD system is developed for the or...