Using VGG۱۶ Algorithms for classification of lung cancer in CT scans Image

Lung cancer is that the leading reason behind cancer-related deaths within the world. Early detection of lung nodules is vital for increasing the survival rate of cancer patients. Traditionally, physicians should manually identify the world suspected of getting carcinoma. When developing these detection systems, the arbitrariness of lung nodules' shape, size, and texture could be a challenge. Many studies showed the applied of computer vision algorithms to accurate diagnosis and classification of lung nodules. A deep learning algorithm called the VGG۱۶ was developed during this paper to help medical professionals diagnose and classify carcinoma nodules. VGG۱۶ can classify medical images of carcinoma in malignant, benign, and healthy patients. This paper showed that nodule detection using this single neural network had ۹۲.۰۸% sensitivity, ۹۱% accuracy, and an AUC of ۹۳%.