Accurate Lung Cancer Prediction From CT Scans Using Advanced Deep Learning Methods

The proposed technique also leads with 91%, compared with LSTM's 80%, FNN's 70%, and RNN's 70%, highlighting its ability to minimize false positives, implemented using Python software. The future scope for accurate lung cancer prediction from CT scans using advanced deep learning methods includes the development of more sophisticated algorithms that integrate multimodal imaging data, enhancing diagnostic precision, and personalization of treatment plans.