Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma

Hirohiko Niioka

Guest Associate Professor

He is working on classification of various bioimaging data and diagnosis aid using medical data by deep learning . The data set is an optical microscope image (fluorescence microscope, second near-infrared microscope, Raman microscope, etc.), CT image and healthcare data and so on.