Lung cancer is the leading cause of death among different types of cancers. Every year, the lives lost due to lung cancer exceed those lost to pancreatic, breast, and prostate cancer combined. The survival rate for lung cancer patients is very low compared to other cancer patients due to late diagnostics. Thus, early lung cancer diagnostics is crucial for patients to receive early treatments, increasing the survival rate or even becoming cancer-free. This paper proposed a deep-learning model for early lung cancer prediction and diagnosis from Computed Tomography (CT) scans. The proposed mode achieves high accuracy. In addition, it can be a beneficial tool to support radiologists' decisions in predicting and detecting lung cancer and its stage.

翻译：肺癌是各类癌症中导致死亡的主要原因。每年因肺癌而失去的生命超过胰腺癌、乳腺癌和前列腺癌的总和。与其它癌症患者相比，肺癌患者的存活率非常低，这主要是由于诊断较晚所致。因此，早期肺癌诊断对于患者接受早期治疗、提高存活率甚至实现无癌生存至关重要。本文提出了一种基于深度学习的模型，用于从计算机断层扫描（CT）中预测和诊断早期肺癌。所提出的模型实现了高精度。此外，它可以作为辅助工具，支持放射科医生在预测和检测肺癌及其分期方面的决策。