Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images

Conclusions In this work we analyze the joint capability of FCFM images and scattering features for lung cancer diagnosis. The proposed method achieves a good recognition rate for such a diagnosis problem. It also performs well when used in conjunction with other features for other classical medical imaging classification problems.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research