The objectives of our research paper are to:

* Review the latest advances in advanced imaging techniques for lung cancer diagnosis, such as LDCT and MRI.

* Discuss the use of deep learning for lung cancer detection and classification.

* Evaluate the performance of deep learning-based CAD systems for lung cancer diagnosis.

* Identify the challenges and limitations of deep learning-based CAD systems for lung cancer diagnosis.

* Discuss the future directions of research in this area.