Microscopy Research and Technique,

Automated lung nodule detection and classification based on multiple classifiers voting

This research presents the lung nodule detection and classification framework. Multiple classifiers logistic regression, multilayer perceptron and voted perceptron using k‐fold cross‐validation process tested on LIDC dataset show promising accuracy results. Abstract Lung cancer is the most common cause of cancer‐related death globally. Currently, lung nodule detection and classification are performed by radiologist‐assisted computer‐aided diagnosis systems. However, emerged artificially intelligent...

Microscopy Research and Technique

Wed Jun 26, 2019 19:40