Evaluation of the Hybrid Model of K-NN and Bi-ConvLSTM in Identifying Lung Cancer Nodules in CT Images: An Optimal Study
Purpose: The objective of this study is to develop a hybrid model combining K-Nearest Neighbor (K-NN) and Bidirectional Convolutional Long Short-Term Memory (BiConvLSTM) for effective detection of lung cancer nodules in chest CT images. Materials and Methods: A dataset of 200 high-resolution CT images (100 nodular, 10...