Detection of Lung Cancer Using Histopathology Based on CNN

Early diagnosis of lung cancer is a challenge, making it difficult to treat successfully. This paper discusses the creation of a Convolutional Neural Network (CNN)-based system for lung cancer prediction from Biopsy Scan. Deep learning holds great promise for medical image processing, and CNNs are particularly good at learning complex patterns. Our CNN system will seek to scan Biopsy scans and detect insidious differences consistent with early-stage lung cancer. It can potentially: Early detection of lung cancer can greatly enhance the chances of effective intervention. Automation of image analysis using CNNs saves medical professionals' time for diagnosis and treatment planning. CNNs show high accuracy in image recognition, which results in more accurate predictions.